- ICLR 2026 (Apr, decisions late Jan)
- KDD 2026 (Aug, decisions late Nov)
- WSDM 2026 (Feb, decisions late Oct)
- AAAI 2026 (Jan, decisions early Nov)
- LoG 2025 (Dec, decisions late Oct)
- NeurIPS 2025 (Dec, decisions mid Sep)
- ICDM 2025 (Dec, decisions late Aug)
- EMNLP 2025 (Nov, decisions late Aug)
- ICCV 2025 (Oct, decisions late Jun)
- Enhancing Microservices Anomaly Detection via Multimodal Data Fusion in the Wavelet Domain and Spatiotemporal Graph-based Diffusion Probabilistic Model
- Player-Team Heterogeneous Interaction Graph Transformer for Soccer Outcome Prediction
- Collaborative Filtering Meets Spectrum Shift: Connecting User-Item Interaction with Graph-Structured Side Information
- Graph Positional Autoencoders as Self-supervised Learners
- Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening
- GNN-SKAN: Advancing Molecular Representation Learning with SwallowKAN
- GuardFGL: Similarity-driven Federated Graph Learning with Adversarial Robustness and Membership Privacy
- Task Negative Sampling Enhanced Graph Few-shot Learning
- Verification of Incomplete Graph Unlearning through Adversarial Perturbations
- Feature Reconstruction for Anomaly Detection on Directed Multigraphs: A Preprocessing Framework for GNNs
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- Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features
- Persona Identification in E-Commerce with Scarce Labels and In-Context Graph Learning
- Improving Subgraph Matching by Combining Algorithms and Graph Neural Networks
- GCoT: Chain-of-Thought Prompt Learning for Graphs
- Learning to Slice: Self-Supervised Interpretable Hierarchical Representation Learning with Graph Auto-Encoder Tree
- Track and Tweak: Monitoring and Improving Group Fairness for Temporal Graph Neural Networks in Real Time
- Explaining GNN Explanations with Edge Gradients
- Enhancing Homophily-Heterophily Separation: Relation-Aware Learning in Heterogeneous Graphs
- LitFM: A Retrieval Augmented Structure-aware Foundation Model For Citation Graphs
- GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model
- Federated Continual Graph Learning
- Depth-Adaptive Graph Neural Networks via Learnable Bakry-Émery Curvature
- CellCLAT: Preserving Topology and Trimming Redundancy in Self-Supervised Cellular Contrastive Learning
- CompressGNN: Accelerating Graph Neural Network Training via Hierarchical Compression
- Your Graph Recommenders are Provably Doing Graph Contrastive Learning
- Rewarding Graph Reasoning Process makes LLMs more Generalized Reasoners
- SMA-GNN: A Symbol-Aware Graph Neural Network for Signed Link Prediction in Recommender Systems
- FlexGNN: A High-Performance, Large-Scale Full-Graph GNN System with Best-Effort Training Plan Optimization
- Harnessing Influence Function in Explaining Graph Neural Networks
- Urban Region Pre-training and Prompting: A Graph-based Approach
- A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation
- GRASP: Differentially Private Graph Reconstruction Defense with Structured Perturbation
- Global Interpretable Graph-level Anomaly Detection via Prototype
- Understanding and Tackling Over-Dilution in Graph Neural Networks
- Graph Evidential Learning for Anomaly Detection
- Time Matters: Enhancing Sequential Recommendations with Time-Guided Graph Neural ODEs
- On the Scalability of Temporal Relative Positional Encoding for Dynamic Link Prediction
- Unsupervised Graph Clustering with Deep Structural Entropy
- Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations
- GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations
- S3GA: Towards Scalable Self-Supervised Learning for Large Scale Graph Alignment
- ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks
- MoDiff - Graph Generation with Motif-aware Diffusion Model
- AffinityTune: A Prompt-Tuning Framework for Few-Shot Anomaly Detection on Graphs
- Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning
- Advancing Graph Foundation Models: A Data-Centric Perspective
- LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture
- STARLINE: Contrastive Learning with Modality-Aware Graph Refinement for Effective Multimedia Recommendation
- MSHTrans: Multi-Scale Hypergraph Transformer with Time-Series Decomposition for Temporal Anomaly Detection
- Advancing Molecular Graph-Text Pre-training via Fine-grained Alignment
- EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network
- Quantizing Text-attributed Graphs for Semantic-Structural Integration
- Hexagon-Net: Heterogeneous Cross-View Aligned Graph Attention Networks for Implied Volatility Surface Prediction
- Revisiting Graph Adversarial Attack: A Perspective of Budget Optimization
- Causal-aware Graph Neural Architecture Search under Distribution Shifts
- Simple yet Effective Graph Distillation via Clustering
- Enhanced Subgraph Learning in 2-FWL GNNs via Local Connectivity, Spectral, and Distance Encodings
- K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction
- AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection
- Discrepancy-Aware Graph Mask Auto-Encoder
- Robustness Evaluation of Graph-based News Detection Using Network Structural Information
- PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep IP Protection
- Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks
- Efficient End-to-end Language Model Fine-tuning on Graphs
- ArnoldiGCL: Graph Contrastive Learning via Learnable Arnoldi-Based Guided Spectral Chebyshev Polynomial Filters
- Fine-Grained Traffic Inference from Road to Lane via Spatio-Temporal Graph Node Generation
- Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework
- Prompt as a Double-Edged Sword: A Dynamic Equilibrium Gradient-Assigned Attack against Graph Prompt Learning
- Progressive Stacking for Scalable Graph Condensation
- Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks
- UnG-MoCha: Neural Motif Counting in Uncertain Graphs
- AGODE: Adaptive Graph ODE for Grid-free Fluid Modeling and Domain Adaptation
- Boosting E-commerce Content Diversity: A Graph-based RAG Approach with User Reviews
- Local Homophily-Aware Graph Neural Network with Adaptive Polynomial Filters for Scalable Graph Anomaly Detection
- TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer
- Bi-Modal Learning for Networked Time Series
- SGD-DyG: Self-Reliant Global Dependency Apprehending on Dynamic Graphs
- Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery
- Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation
- Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive Hypergraphs
- Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
- TAG2M- A Task-Agnostic Knowledge Distillation Framework for Distilling GNN to MLP
- Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature Aggregation
- LLMs Are Noisy Oracles! LLM-based Noise-aware Graph Active Learning for Node Classification
- KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG
- Self-Supervised Continual Graph Learning via Adaptive Spaced Replay on Node Proxies
- Boosting Bot Detection via Heterophily-Aware Representation Learning and Prototype-Guided Cluster Discovery
- TempASD: Temporal Anomalous Subgraph Discovery in Large-Scale Dynamic Financial Networks
- Unveiling Mode Connectivity in Graph Neural Network
- Tackling Size Generalization of Graph Neural Networks on Biological Data from a Spectral Perspective
- Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks
- Finding Counterfactual Evidences for Node Classification
- Accurate Graph-based Multi-Positive Unlabeled Learning via Disentangled Multi-view Feature Propagation
- Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Molecular Graph Learning
- Generalizable Graph Prompt Learning Framework with Model-level Prompt Injection and Two-Stage Prompt Tuning
- Towards Interpretable Drug-Drug Interaction Prediction: A Graph-Based Approach with Molecular and Network-Level Explanations
- Position-Aware Neighbor Aggregation for Dynamic Link Prediction
- GDendrite: On Heterophilous Graph Contexts Mining with Versatile Neural Dendrites Framework
- Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution
- Explicit-Implicit Entity Alignment Method in Multi-modal Knowledge Graphs
- Context Pooling: Query-specific Graph Pooling for Generic Inductive Link Prediction in Knowledge Graphs
- Future Matters for Present: Towards Effective Physical Simulation over Meshes
- Spectral Subspace Clustering for Attributed Graphs
- Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction
- R2MR: Review and Rewrite Modality for Recommendation
- DimCL: Dimension-Aware Augmentation in Contrastive Learning for Recommendation
- MLDGG: Meta-Learning for Domain Generalization on Graphs
- Fast and Effective GNN Training through Sequences of Random Path Graphs
- Generalizing Personalized Federated Graph Augmentation via Min-max Adversarial Learning
- Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor
- Graph Triple Attention Networks: A Decoupled Perspective
- GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning
- Probabilistic Hypergraph Recurrent Neural Networks for Time-series Forecasting
- A Structure-aware Invariant Learning Framework for Node-level Graph OOD Generalization
- Dynamic Localisation of Spatial-Temporal Graph Neural Network
- Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes
- Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph Reasoning
- Bi-Dynamic Graph ODE for Opinion Evolution
- Graph Learning with Distributional Edge Layouts
- Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification
- Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
- 3DGraphX: Explaining 3D Molecular Graph Models via Incorporating Chemical Priors
- UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs
- Fast and Accurate Temporal Hypergraph Representation for Hyperedge Prediction
- Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification
- Chainlet Orbits: Topological Address Embedding for Blockchain
- Attribute-Enhanced Similarity Ranking for Sparse Link Prediction
- Towards Controllable Hybrid Fairness in Graph Neural Networks
- RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning
- Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?
- How to use Graph Data in the Wild to Help Graph Anomaly Detection?
- TransPlace: Transferable Circuit Global Placement via Graph Neural Network
- Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
- Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries
- Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education
- Graph Contrastive Learning with Progressive Augmentations
- On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications
- A Unified Invariant Learning Framework for Graph Classification
- Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
- CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship
- Stealing Training Graphs from Graph Neural Networks
- Stable Representation Learning on Graphs from Multiple Environments with Structure Distribution Shift
- Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning
- Non-Homophilic Graph Pre-Training and Prompt Learning
- SCode: A Spherical Code Metric Learning Approach to Continuously Monitoring Predictive Events in Networked Data
- ProST: Prompt Future Snapshot on Dynamic Graphs for Spatio-Temporal Prediction
- GraphTool-Instruction: Revolutionizing Graph Reasoning in LLMs through Decomposed Subtask Instruction
- Hypergraph Motif Representation Learning
- Handling Feature Heterogeneity with Learnable Graph Patches
- Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph
- Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks
- Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for Recommendation
- PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy
- Fairness without Demographics through Learning Graph of Gradients
- NodeImport: Imbalanced Node Classification with Node Importance Assessment
- Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
- Covered Forest: Fine-grained generalization analysis of graph neural networks
- Propagate and Inject: Revisiting Propagation-Based Feature Imputation for Graphs with Partially Observed Features
- Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales
- Flow Matching for Denoised Social Recommendation
- Learning the Electronic Hamiltonian of Large Atomic Structures
- Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization
- SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion
- What Makes a Good Feedforward Computational Graph?
- Do We Really Need Message Passing in Brain Network Modeling?
more
- TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching
- Towards Understanding Parametric Generalized Category Discovery on Graphs
- Large Language-Geometry Model: When LLM meets Equivariance
- GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction
- Bridging Layout and RTL: Knowledge Distillation based Timing Prediction
- Graph Inverse Style Transfer for Counterfactual Explainability
- Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance
- Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win
- Toward Data-centric Directed Graph Learning: An Entropy-driven Approach
- Multimodal Medical Code Tokenizer
- On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks
- SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval
- Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis
- Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation
- AnalogGenie-Lite: Enhancing Scalability and Precision in Circuit Topology Discovery through Lightweight Graph Modeling
- GraphGPT: Generative Pre-trained Graph Eulerian Transformer
- MIPT: Multilevel Informed Prompt Tuning for Robust Molecular Property Prediction
- GCAL: Adapting Graph Models to Evolving Domain Shifts
- Hgformer: Hyperbolic Graph Transformer for Collaborative Filtering
- GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention
- G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
- Vision Graph Prompting via Semantic Low-Rank Decomposition
- EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
- Complete-Tree Space Favors Data-Efficient Link Prediction
- KGMark: A Diffusion Watermark for Knowledge Graphs
- A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations
- MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
- Improving the Effective Receptive Field of Message-Passing Neural Networks
- Simple and Critical Iterative Denoising: A Recasting of Discrete Diffusion in Graph Generation
- Commute Graph Neural Networks
- Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series
- GRAIL: Graph Edit Distance and Node Alignment using LLM-Generated Code
- How Expressive are Knowledge Graph Foundation Models?
- Quadruple Attention in Many-body Systems for Accurate Molecular Property Predictions
- S^2FGL: Spatial Spectral Federated Graph Learning
- Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection
- Test-Time Graph Neural Dataset Search With Generative Projection
- LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification
- Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series
- Fine-Grained Captioning of Long Videos through Scene Graph Consolidation
- A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks
- FDGen: A Fairness-Aware Graph Generation Model
- The Case for Learned Provenance-based System Behavior Baseline
- Stable Fair Graph Representation Learning with Lipschitz Constraint
- A Recipe for Causal Graph Regression: Confounding Effects Revisited
- Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective
- Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
- CoDy: Counterfactual Explainers for Dynamic Graphs
- HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting
- Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
- FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting
- Relational Invariant Learning for Robust Solvation Free Energy Prediction
- Implicit degree bias in the link prediction task
- Learning Initial Basis Selection for Linear Programming via Duality-Inspired Tripartite Graph Representation and Comprehensive Supervision
- Physics-Informed DeepONets for drift-diffusion on metric graphs: simulation and parameter identification
- CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition
- TopoTune: A Framework for Generalized Combinatorial Complex Neural Networks
- OneForecast: A Universal Framework for Global and Regional Weather Forecasting
- HetSSNet: Spatial-Spectral Heterogeneous Graph Learning Network for Panchromatic and Multispectral Images Fusion
- Simple Path Structural Encoding for Graph Transformers
- Learnable Spatial-Temporal Positional Encoding for Link Prediction
- Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting
- Disentangled Graph Spectral Domain Adaptation
- GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation
- EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions
- RelGNN: Composite Message Passing for Relational Deep Learning
- Position: Graph Matching Systems Deserve Better Benchmarks
- On Explaining Equivariant Graph Networks via Improved Relevance Propagation
- Adapting Precomputed Features for Efficient Graph Condensation
- GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
- Disentangling Invariant Subgraph via Variance Contrastive Estimation under Distribution Shifts
- When Do LLMs Help With Node Classification? A Comprehensive Analysis
- Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics
- Nonparametric Teaching for Graph Property Learners
- Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks
- Self-Discriminative Modeling for Anomalous Graph Detection
- ELoRA: Low-Rank Adaptation for Equivariant GNNs
- Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality
- TopInG: Topologically Interpretable Graph Learning via Persistent Rationale Filtration
- Homophily Enhanced Graph Domain Adaptation
- Reaction Graph: Towards Reaction-Level Modeling for Chemical Reactions with 3D Structures
- Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries
- CSG-ODE: ControlSynth Graph ODE For Modeling Complex Evolution of Dynamic Graphs
- From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering
- Learning Latent Graph Structures and their Uncertainty
- Graph Generative Pre-trained Transformer
- Structure Is All You Need: Structural Representation Learning on Hyper-Relational Knowledge Graphs
- DeFoG: Discrete Flow Matching for Graph Generation
- Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation
- Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction
- Unifews: You Need Fewer Operations for Efficient Graph Neural Networks
- Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity
- ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks
- Implicit Subgraph Neural Network
- SHARP-Distill: A 68\times Faster Recommender System with Hypergraph Neural Networks and Language Models
- Distributed Conformal Prediction via Message Passing
- A Manifold Perspective on the Statistical Generalization of Graph Neural Networks
- Graph Diffusion for Robust Multi-Agent Coordination
- Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models
- Learning-Order Autoregressive Models with Application to Molecular Graph Generation
- PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities
- Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation
- DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning
- Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training
- Adversarial Robust Generalization of Graph Neural Networks
- Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
- Boosting Protein Graph Representations through Static-Dynamic Fusion
- G-Adaptivity: optimised graph-based mesh relocation for finite element methods
- Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations
- From Theory to Practice: Rethinking Green and Martin Kernels for Unleashing Graph Transformers
- Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes
- Relational Conformal Prediction for Correlated Time Series
- ML^2-GCL: Manifold Learning Inspired Lightweight Graph Contrastive Learning
- SPHINX: Structural Prediction using Hypergraph Inference Network
- MemFreezing: A Novel Adversarial Attack on Temporal Graph Neural Networks under Limited Future Knowledge
- PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design
- Telling Peer Direct Effects from Indirect Effects in Observational Network Data
- Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets
- Smooth Interpolation for Improved Discrete Graph Generative Models
- A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks
- Positional Encoding meets Persistent Homology on Graphs
- Visual and Domain Knowledge for Professional-level Graph-of-Thought Medical Reasoning
- Hierarchical Graph Tokenization for Molecule-Language Alignment
- Primphormer: Efficient Graph Transformers with Primal Representations
- Neural Graph Matching Improves Retrieval Augmented Generation in Molecular Machine Learning
- Mixed-curvature decision trees and random forests
- Efficient Federated Incomplete Multi-View Clustering
- Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation
- A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition
- On Measuring Long-Range Interactions in Graph Neural Networks
- RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation
- Learn Beneficial Noise as Graph Augmentation
- Zero-Shot Generalization of GNNs over Distinct Attribute Domains
- Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph
- Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models
- TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
- Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG
- DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra
- Cover learning for large-scale topology representation
- FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks
- NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders
- Enhancing Graph Invariant Learning from a Negative Inference Perspective
- Beyond Message Passing: Neural Graph Pattern Machine
- No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets
- Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
- Code-Generated Graph Representations Using Multiple LLM Agents for Material Properties Prediction
- Learning Condensed Graph via Differentiable Atom Mapping for Reaction Yield Prediction
- Equivalence is All: A Unified View for Self-supervised Graph Learning
- CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
- HyperNear: Unnoticeable Node Injection Attacks on Hypergraph Neural Networks
- EmoGrowth: Incremental Multi-label Emotion Decoding with Augmented Emotional Relation Graph
- Retrieval-Augmented Language Model for Knowledge-aware Protein Encoding
- GPEN: Global Position Encoding Network for Enhanced Subgraph Representation Learning
- Topology-aware Neural Flux Prediction Guided by Physics
- HYGMA: Hypergraph Coordination Networks with Dynamic Grouping for Multi-Agent Reinforcement Learning
- Position: Spectral GNNs Rely Less on Graph Fourier Basis than Conceived
- Towards characterizing the value of edge embeddings in Graph Neural Networks
- Rhomboid Tiling for Geometric Graph Deep Learning
- COMRECGC: Global Graph Counterfactual Explainer through Common Recourse
- Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
- EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification
- Generalization Principles for Inference over Text-Attributed Graphs with Large Language Models
- When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network
- TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction
- SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning
- HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport
- Federated Node-Level Clustering Network with Cross-Subgraph Link Mending
- Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes
- How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees
- Weakly-Supervised Contrastive Learning for Imprecise Class Labels
- Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective
- TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation
- Going Deeper into Locally Differentially Private Graph Neural Networks
- Improved Expressivity of Hypergraph Neural Networks through High-Dimensional Generalized Weisfeiler-Leman Algorithms
- Graph4MM: Weaving Multimodal Learning with Structural Information
- Learning Changes in Graphon Attachment Network Models
- Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory
- AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization
- Delay-DSGN: A Dynamic Spiking Graph Neural Network with Delay Mechanisms for Evolving Graph
- Graph World Model
- Aggregation Buffer: Revisiting DropEdge with a New Parameter Block
- Multi-View Graph Clustering via Node-Guided Contrastive Encoding
- Geometric Generative Modeling with Noise-Conditioned Graph Networks
- Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation
- DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning
- Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data
- GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation
- Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction
- Curvature-aware Graph Attention for PDEs on Manifolds
- ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-k-Cut Problems
- Instance Correlation Graph-based Naive Bayes
- WILTing Trees: Interpreting the Distance Between MPNN Embeddings
- Robust Spatio-Temporal Centralized Interaction for OOD Learning
- Learning without Isolation: Pathway Protection for Continual Learning
- Premise-Augmented Reasoning Chains Improve Error Identification in Math reasoning with LLMs
- PyTDC: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models
- Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs
- Noise-Guided Predicate Representation Extraction and Diffusion-Enhanced Discretization for Scene Graph Generation
- Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance
- Graph Adaptive Autoregressive Moving Average Models
- Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning
- CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models
- Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum
- N2GON: Neural Networks for Graph-of-Net with Position Awareness
- Self-supervised Adversarial Purification for Graph Neural Networks
- EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction
- A Selective Learning Method for Temporal Graph Continual Learning
- Enhancing Spectral GNNs: From Topology and Perturbation Perspectives
- Stability and Generalization Capability of Subgraph Reasoning Models for Inductive Knowledge Graph Completion
- Open Materials Generation with Stochastic Interpolants
- Best of Both Worlds: Advantages of Hybrid Graph Sequence Models
- Primal-Dual Neural Algorithmic Reasoning
- Pruning for GNNs: Lower Complexity with Comparable Expressiveness
- Contrastive Learning with Simplicial Convolutional Networks for Short-Text Classification
- Causal Invariance-aware Augmentation for Brain Graph Contrastive Learning
- Rethink GraphODE Generalization within Coupled Dynamical System
- Outlier-Aware Post-Training Quantization for Discrete Graph Diffusion Models
- Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs
- Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks
- Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
- AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration
- Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach
- GraphNarrator: Generating Textual Explanations for Graph Neural Networks
- Medical Graph RAG: Evidence-based Medical Large Language Model via Graph Retrieval-Augmented Generation
- Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering
- CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era
- RecLM: Recommendation Instruction Tuning
- Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation
- A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning
- Decoding on Graphs: Faithful and Sound Reasoning on Knowledge Graphs through Generation of Well-Formed Chains
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- Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization
- G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems
- Tree-KG: An Expandable Knowledge Graph Construction Framework for Knowledge-intensive Domains
- AnRe: Analogical Replay for Temporal Knowledge Graph Forecasting
- Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection
- Graphically Speaking: Unmasking Abuse in Social Media with Conversation Insights
- Multi-document Summarization through Multi-document Event Relation Graph Reasoning in LLMs: a case study in Framing Bias Mitigation
- UniLR: Unleashing the Power of LLMs on Multiple Legal Tasks with a Unified Legal Retriever
- LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study
- KERL: Knowledge-Enhanced Personalized Recipe Recommendation using Large Language Models
- ChainEdit: Propagating Ripple Effects in LLM Knowledge Editing through Logical Rule-Guided Chains
- Text is All You Need: LLM-enhanced Incremental Social Event Detection
- NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning
- Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?
- Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering
- Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning
- Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphs
- DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation
- HyperFM: Fact-Centric Multimodal Fusion for Link Prediction over Hyper-Relational Knowledge Graphs
- Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning
- Digest the Knowledge: Large Language Models empowered Message Passing for Knowledge Graph Question Answering
- EventRAG: Enhancing LLM Generation with Event Knowledge Graphs
- HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases
- Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering
- GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding
- Exploring Multimodal Relation Extraction of Hierarchical Tabular Data with Multi-task Learning
- M\textthreesuperiorGQA: A Multi-Entity Multi-Hop Multi-Setting Graph Question Answering Benchmark
- MIR: Methodology Inspiration Retrieval for Scientific Research Problems
- GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking
- Large Language Models are Good Relational Learners
- GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding
- Probing Relative Interaction and Dynamic Calibration in Multi-modal Entity Alignment
- Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
- Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs
- HELIOS: Harmonizing Early Fusion, Late Fusion, and LLM Reasoning for Multi-Granular Table-Text Retrieval
- Diffusion Directed Acyclic Transformer for Non-Autoregressive Machine Translation
- Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models
- Introducing Graph Context into Language Models through Parameter-Efficient Fine-Tuning for Lexical Relation Mining
- Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
- Enhancing Transformers for Generalizable First-Order Logical Entailment
- Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs
- HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses
- My Words Imply Your Opinion: Reader Agent-Based Propagation Enhancement for Personalized Implicit Emotion Analysis
- SINCon: Mitigate LLM-Generated Malicious Message Injection Attack for Rumor Detection
- Beyond the Answer: Advancing Multi-Hop QA with Fine-Grained Graph Reasoning and Evaluation
- The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit
- DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph
- iQUEST: An Iterative Question-Guided Framework for Knowledge Base Question Answering
- CityNavAgent: Aerial Vision-and-Language Navigation with Hierarchical Semantic Planning and Global Memory
- KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph
- DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting
- Consensus-Guided Incomplete Multi-view Clustering via Cross-view Affinities Learning
- CoLA-Former: Graph Transformer Using Communal Linear Attention for Lightweight Sequential Recommendation
- Gradient-based Causal Feature Selection
- Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction
- Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain
- MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking
- SALE-MLP: Structure Aware Latent Embeddings for GNN to Graph-free MLP Distillation
- MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction
- Dynamic Multiple High-order Correlations Fusion with Noise Filtering for Incomplete Multi-view Noisy-label Learning
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- AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents
- A Simple yet Effective Hypergraph Clustering Network
- FS-KEN: Few-shot Knowledge Graph Reasoning by Adversarial Negative Enhancing
- Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks
- GPL4SRec: Graph Multi-Level Aware Prompt Learning for Streaming Recommendation
- Towards Recognizing Spatial-temporal Collaboration of EEG Phase Brain Networks for Emotion Understanding
- An Association-based Fusion Method for Speech Enhancement
- A Prior-based Discrete Diffusion Model for Social Graph Generation
- STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation
- Sentiment-enhanced Multi-hop Connected Graph Attention Network for Multimodal Aspect-Based Sentiment Analysis
- State Feedback Enhanced Graph Differential Equations for Multivariate Time Series Forecasting
- HGMP: Heterogeneous Graph Multi-Task Prompt Learning
- PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment
- Tensorial Multi-view Clustering with Deep Anchor Graph Projection
- Causality-Inspired Disentanglement for Fair Graph Neural Networks
- Wave-driven Graph Neural Networks with Energy Dynamics for Over-smoothing Mitigation
- Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method
- HyperTrans: Efficient Hypergraph-Driven Cross-Domain Pattern Transfer in Image Anomaly Detection
- Graph Embedded Contrastive Learning for Multi-View Clustering
- Sharpness-aware Zeroth-order Optimization for Graph Transformers
- Backdoor Attack on Vertical Federated Graph Neural Network Learning
- COGRASP: Co-Occurrence Graph Based Stock Price Forecasting
- Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels
- ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging
- AlphaGAT: A Two-Stage Learning Approach for Adaptive Portfolio Selection
- Graph Prompts: Adapting Video Graph for Video Question Answering
- Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction
- Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance
- Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks
- NAAST-GNN: Neighborhood Adaptive Aggregation and Spectral Tuning for Graph Anomaly Detection
- Soft Reasoning Paths for Knowledge Graph Completion
- PDDFormer: Pairwise Distance Distribution Graph Transformer for Crystal Material Property Prediction
- Spatially Resolved Transcriptomics Data Clustering with Tailored Spatial-scale Modulation
- SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs
- Critical Node-aware Augmentation for Hypergraph Contrastive Learning
- Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts
- High-Confident Local Structure Guided Consensus Graph Learning For Incomplete Multi-view Clustering
- Strategy-Architecture Synergy: A Multi-View Graph Contrastive Paradigm for Consistent Representations
- Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes
- ABNet: Mitigating Sample Imbalance in Anomaly Detection Within Dynamic Graphs
- Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint
- Sanitizing Backdoored Graph Neural Networks: A Multidimensional Approach
- An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection
- HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion
- FedCCH: Automatic Personalized Graph Federated Learning for Inter-Client and Intra-Client Heterogeneity
- An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks
- TOTF: Missing-Aware Encoders for Clustering on Multi-View Incomplete Attributed Graphs
- GSDNet: Revisiting Incomplete Multimodality-Diffusion Emotion Recognition from the Perspective of Graph Spectrum
- A Centrality-based Graph Learning Framework
- Rethinking Graph Contrastive Learning Through Relative Similarity Preservation
- Explainable Graph Neural Networks via Structural Externalities
- MonoMixer: Marrying Convolution and Vision Transformer for Efficient Self-Supervised Monocular Depth Estimation
- Image-Enhanced Hybrid Encoding with Reinforced Contrastive Learning for Spatial Domain Identification in Spatial Transcriptomics
- Adaptive Graph Unlearning
- Multimodal Knowledge Retrieval-Augmented Iterative Alignment for Satellite Commonsense Conversation
- scSiameseClu: A Siamese Clustering Framework for Interpreting Single-cell RNA Sequencing Data
- AKBR: Learning Adaptive Kernel-based Representations for Graph Classification
- SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps
- Electron Density-enhanced Molecular Geometry Learning
- Multi-Scale Temporal Neural Network for Stock Trend Prediction Enhanced by Temporal Hyepredge Learning
- M^2LLM: Multi-view Molecular Representation Learning with Large Language Models
- HGEN: Heterogeneous Graph Ensemble Networks
- Hybrid Relational Graphs with Sentiment-laden Semantic Alignment for Multimodal Emotion Recognition in Conversation
- Going Beyond Consistency: Target-oriented Multi-view Graph Neural Network
- Dynamic Anchor-based Ensemble Clustering via Hypergraph Reconstruction
- GraphProt: Certified Black-Box Shielding Against Backdoored Graph Models
- Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding
- Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective
- Mitigating Over-Smoothing in Graph Neural Networks via Separation Coefficient-Guided Adaptive Graph Structure Adjustment
- MGCA-Net: Multi-Graph Contextual Attention Network for Two-View Correspondence Learning
- Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning
- High-Fidelity Road Network Generation with Latent Diffusion Models
- Rewarding Explainability in Drug Repurposing with Knowledge Graphs
- Graph OOD Detection via Plug-and-Play Energy-based Evaluation and Propagation
- Subgraph Information Bottleneck with Causal Dependency for Stable Molecular Relational Learning
- Hierarchy Knowledge Graph for Parameter-Efficient Entity Embedding
- DASS: A Dual-Branch Attention-based Framework for Trajectory Similarity Learning with Spatial and Semantic Fusion
- Uncertainty-guided Graph Contrastive Learning from a Unified Perspective
- ADPFedGNN: Adaptive Decoupling Personalized Federated Graph Neural Network
- PerfSeer: An Efficient and Accurate Deep Learning Models Performance Predictor
- PAMol: Pocket-Aware Drug Design Method with Hypergraph Representation of Protein Pocket Structure and Feature Fusion
- Partial Label Clustering
- Let’s Group: A Plug-and-Play SubGraph Learning Method for Memory-Efficient Spatio-Temporal Graph Modeling
- Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking
- Fusion of Granular-Ball Visual Spatial Representations for Enhanced Facial Expression Recognition
- Heterophily-Aware Personalized PageRank for Node Classification
- Suit the Node Pair to the Case: A Multi-Scale Node Pair Grouping Strategy for Graph-MLP Distillation
- Multi-Agent Communication with Information Preserving Graph Contrastive Learning
- Dynamic Higher-Order Relations and Event-Driven Temporal Modeling for Stock Price Forecasting
- HiTuner: Hierarchical Semantic Fusion Model Fine-Tuning on Text-Attributed Graphs
- Towards Improved Risk Bounds for Transductive Learning
- GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy
- Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
- Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networks
- Enhanced Graph Similarity Learning via Adaptive Multi-scale Feature Fusion
- GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing
- RetroMoE: A Mixture-of-Experts Latent Translation Framework for Single-step Retrosynthesis
- Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance
- Riding the Wave: Multi-Scale Spatial-Temporal Graph Learning for Highway Traffic Flow Prediction Under Overload Scenarios
- FGeo-HyperGNet: Geometric Problem Solving Integrating FormalGeo Symbolic System and Hypergraph Neural Network
- NeuBM: Mitigating Model Bias in Graph Neural Networks Through Neutral Input Calibration
- Test-Time Adaptation on Recommender System with Data-Centric Graph Transformation
- TESTN: A Triad-Enhanced Spatio-Temporal Network for Multi-Temporal POI Relationship Inference
- Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors
- APIMig: A Project-Level Cross-Multi-Version API Migration Framework Based on Evolution Knowledge Graph
- HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model
- Structure-Aware Handwritten Text Recognition via Graph-Enhanced Cross-Modal Mutual Learning
- Learn from Global Rather Than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clustering
- Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective
- Robust Graph Contrastive Learning for Incomplete Multi-view Clustering
- OS-GCL: A One-Shot Learner in Graph Contrastive Learning
- Rethinking Federated Graph Learning: A Data Condensation Perspective
- FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data
- A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection
- MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection
- Decision-Aware Preference Modeling for Multi-Behavior Recommendation
- KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities
- A Fast-Adaptive Cognitive Diagnosis Framework for Computerized Adaptive Testing Systems
- DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification
- All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learning
- Verifying Quantized Graph Neural Networks is PSPACE-complete
- Metapath and Hypergraph Structure-based Multi-Channel Graph Contrastive Learning for Student Performance Prediction
- SecV: LLM-based Secure Verilog Generation with Clue-Guided Exploration on Hardware-CWE Knowledge Graph
- Aggregation Mechanism Based Graph Heterogeneous Networks Distillation
- Revealing Concept Shift in Spatio-Temporal Graphs via State Learning
- Explainable Graph Representation Learning via Graph Pattern Analysis
- Community-Aware Graph Transformer for Brain Disorder Identification
- HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification
- LRGR: Self-Supervised Incomplete Multi-View Clustering via Local Refinement and Global Realignment
- Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion
- DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagation
- Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation
- Efficient Dynamic Graphs Learning with Refined Batch Parallel Training
- DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Models
- Heterogeneous Temporal Hypergraph Neural Network
- GLDiTalker: Speech-Driven 3D Facial Animation with Graph Latent Diffusion Transformer
- Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
- STLSP: Integrating Structure and Text with Large Language Models for Link Sign Prediction of Networks
- Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems
- MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction
- Negative Metric Learning for Graphs
- Higher-order Logical Knowledge Representation Learning
- Adversarial Training for Graph Convolutional Networks: Stability and Generalization Analysis
- What Can We Learn From MIMO Graph Convolutions?
- MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition
- ST-TAR: An Efficient Spatio-Temporal Learning Framework for Traffic Accident Risk Forecasting
- Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning
- KnowMDD: Knowledge-guided Cross Contrastive Learning for Major Depressive Disorder Diagnosis
- Beyond Individual and Point: Next POI Recommendation via Region-aware Dynamic Hypergraph with Dual-level Modeling
- Dual Encoder Contrastive Learning with Augmented Views for Graph Anomaly Detection
- GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving
- GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype
- Progressive Prefix-Memory Tuning for Complex Logical Query Answering on Knowledge Graphs
- Coupling Category Alignment for Graph Domain Adaptation
- Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer
- Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis
- UltraModel: A Modeling Paradigm for Industrial Objects
- GCTAM: Global and Contextual Truncated Affinity Combined Maximization Model For Unsupervised Graph Anomaly Detection
- Federated Multi-view Graph Clustering with Incomplete Attribute Imputation
- Gaussian Mixture Model for Graph Domain Adaptation
- Universal Graph Self-Contrastive Learning
- DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learning
- EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems
- GCNT: Graph-Based Transformer Policies for Morphology-Agnostic Reinforcement Learning
- How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback
- Generate or Re-Weight? A Mutual-Guidance Method for Class-Imbalanced Graphs
- A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting
- fairGNN-WOD: Fair Graph Learning Without Complete Demographics
- Lets Group: A Plug-and-Play SubGraph Learning Method for Memory-Efficient Spatio-Temporal Graph Modeling
- Graph-Embedded Structure-Aware Perceptual Hashing for Neural Network Protection and Piracy Detection
- A Hubness Perspective on Representation Learning for Graph-Based Multi-View Clustering
- Unsupervised Continual Domain Shift Learning with Multi-Prototype Modeling
- T2SG: Traffic Topology Scene Graph for Topology Reasoning in Autonomous Driving
- HOP: Heterogeneous Topology-based Multimodal Entanglement for Co-Speech Gesture Generation
- BrepGiff: Lightweight Generation of Complex B-rep with 3D GAT Diffusion
- AMR-Transformer: Enabling Efficient Long-range Interaction for Complex Neural Fluid Simulation
- HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment
- Percept, Memory, and Imagine: World Feature Simulating for Open-Domain Unknown Object Detection
- UNICL-SAM: Uncertainty-Driven In-Context Segmentation with Part Prototype Discovery
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- Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition
- HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
- Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression
- Asynchronous Collaborative Graph Representation for Frames and Events
- Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
- Mesh Mamba: A Unified State Space Model for Saliency Prediction in Non-Textured and Textured Meshes
- Navigating the Unseen: Zero-shot Scene Graph Generation via Capsule-Based Equivariant Features
- Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation
- TacoDepth: Towards Efficient Radar-Camera Depth Estimation with One-stage Fusion
- Open-Vocabulary Functional 3D Scene Graphs for Real-World Indoor Spaces
- Reasoning Mamba: Hypergraph-Guided Region Relation Calculating for Weakly Supervised Affordance Grounding
- Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized?
- GraphMimic: Graph-to-Graphs Generative Modeling from Videos for Policy Learning
- Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models
- Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation
- NN-Former: Rethinking Graph Structure in Neural Architecture Representation
- Language-Guided Salient Object Ranking
- Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning
- FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity
- End-to-End HOI Reconstruction Transformer with Graph-based Encoding
- Pseudo Visible Feature Fine-Grained Fusion for Thermal Object Detection
- BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology
- Attribute-Missing Multi-view Graph Clustering
- GraphI2P: Image-to-Point Cloud Registration with Exploring Pattern of Correspondence via Graph Learning
- MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images
- Audio-Visual Semantic Graph Network for Audio-Visual Event Localization
- Hybrid Reciprocal Transformer with Triplet Feature Alignment for Scene Graph Generation
- FreeScene: Mixed Graph Diffusion for 3D Scene Synthesis from Free Prompts
- Towards Explainable and Unprecedented Accuracy in Matching Challenging Finger Crease Patterns
- Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation
- GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs
- UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection
- Cheb-GR: Rethinking K-nearest Neighbor Search in Re-ranking for Person Re-identification
- DVHGNN: Multi-Scale Dilated Vision HGNN for Efficient Vision Recognition
- The Devil is in the Prompts: Retrieval-Augmented Prompt Optimization for Text-to-Video Generation
- Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding
- Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation
- Language-Guided Audio-Visual Learning for Long-Term Sports Assessment
- ChainHOI: Joint-based Kinematic Chain Modeling for Human-Object Interaction Generation
- Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning
- Learning to Filter Outlier Edges in Global SfM
- Medusa: A Multi-Scale High-order Contrastive Dual-Diffusion Approach for Multi-View Clustering
- PerLA: Perceptive 3D Language Assistant
- Hypergraph Vision Transformers: Images are More than Nodes, More than Edges
- EASEMVC:Efficient Dual Selection Mechanism for Deep Multi-View Clustering
- PHGC: Procedural Heterogeneous Graph Completion for Natural Language Task Verification in Egocentric Videos
- NADER: Neural Architecture Design via Multi-Agent Collaboration
- Multi-modal Topology-embedded Graph Learning for Spatially Resolved Genes Prediction from Pathology Images with Prior Gene Similarity Information
- Enhanced then Progressive Fusion with View Graph for Multi-View Clustering
- Bringing CLIP to the Clinic: Dynamic Soft Labels and Negation-Aware Learning for Medical Analysis
- Graph Neural Network Combining Event Stream and Periodic Aggregation for Low-Latency Event-based Vision
- CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases
- Knowledge Graph-Guided Retrieval Augmented Generation
- Evaluating and Improving Graph to Text Generation with Large Language Models
- MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media
- Graph Neural Network Enhanced Retrieval for Question Answering of Large Language Models
- A Multi-modal Large Language Model with Graph-of-Thought for Effective Recommendation
- Cascading Large Language Models for Salient Event Graph Generation
- Can LLMs Convert Graphs to Text-Attributed Graphs?
- AutoParLLM: GNN-guided Context Generation for Zero-Shot Code Parallelization using LLMs
- SUNAR: Semantic Uncertainty based Neighborhood Aware Retrieval for Complex QA
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- Exploring Large Language Models for Effective Rumor Detection on Social Media
- ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models
- Verify-in-the-Graph: Entity Disambiguation Enhancement for Complex Claim Verification with Interactive Graph Representation
- CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking
- FactCG: Enhancing Fact Checkers with Graph-Based Multi-Hop Data
- Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion
- Hybrid Graphs for Table-and-Text based Question Answering using LLMs
- Generating Long-form Story Using Dynamic Hierarchical Outlining with Memory-Enhancement
- Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
- EmoDynamiX: Emotional Support Dialogue Strategy Prediction by Modelling MiXed Emotions and Discourse Dynamics
- Exploring the Potential of Large Language Models for Heterophilic Graphs
- GraphLSS: Integrating Lexical, Structural, and Semantic Features for Long Document Extractive Summarization
- DiscoGraMS: Enhancing Movie Screen-Play Summarization using Movie Character-Aware Discourse Graph
- Scaling Graph-Based Dependency Parsing with Arc Vectorization and Attention-Based Refinement
- SymAgent: A Neural-Symbolic Self-Learning Agent Framework for Complex Reasoning over Knowledge Graphs
- Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts
- G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
- Graph Wave Networks
- SPEAR: A Structure-Preserving Manipulation Method for Graph Backdoor Attacks
- SEHG: Bridging Interpretability and Prediction in Self-Explainable Heterogeneous Graph Neural Networks
- Diffusion-based Graph-agnostic Clustering
- Domain-Informed Negative Sampling Strategies for Dynamic Graph Embedding in Meme Stock-Related Social Networks
- UniGO: A Unified Graph Neural Network for Modeling Opinion Dynamics on Graphs
- NI-GDBA: Non-Intrusive Distributed Backdoor Attack Based on Adaptive Perturbation on Federated Graph Learning
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- Tackling Sparse Facts for Temporal Knowledge Graph Completion
- Horizontal Federated Heterogeneous Graph Learning: A Multi-Scale Adaptive Solution to Data Distribution Challenges
- Empowering Federated Graph Rationale Learning with Latent Environments
- Fairness-aware Prompt Tuning for Graph Neural Networks
- Bridging Fairness and Uncertainty: Theoretical Insights and Practical Strategies for Equalized Coverage in GNNs
- Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection
- Achieving Personalized Privacy-Preserving Graph Neural Network via Topology Awareness
- Str-GCL: Structural Commonsense Driven Graph Contrastive Learning
- Nature Makes No Leaps: Building Continuous Location Embeddings with Satellite Imagery from the Web
- MGF-ESE: An Enhanced Semantic Extractor with Multi-Granularity Feature Fusion for Code Summarization
- Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks
- Unified and Generalizable Reinforcement Learning for Facility Location Problems on Graphs
- Gamblers or Delegatees: Identifying Hidden Participant Roles in Crypto Casinos
- Epidemiology-informed Network for Robust Rumor Detection
- Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification
- MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot
- Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases
- RiemannGFM: Learning a Graph Foundation Model from Structural Geometry
- GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs
- Beyond tip of the Iceberg: Debiased Self-training for Long-tailed Semi-supervised Node Classification
- Boosting Graph Convolution with Disparity-induced Structural Refinement
- Hyperbolic Diffusion Recommender Model
- Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization
- LLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction
- STGAN: Detecting Host Threats via Fusion of Spatial-Temporal Features in Host Provenance Graphs
- Training-free Graph Anomaly Detection: A Simple Approach via Singular Value Decomposition
- Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach
- Cluster Aware Graph Anomaly Detection
- Federated Graph Anomaly Detection via Disentangled Representation Learning
- SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection
- HySAE: An Efficient Semantic-Enhanced Representation Learning Model for Knowledge Hypergraph Link Prediction
- Exploring Hypergraph Condensation via Variational Hyperedge Generation and Multi-Aspectual Amelioration
- Generalization Performance of Hypergraph Neural Networks
- Robust Deep Signed Graph Clustering via Weak Balance Theory
- GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems
- Hypergraph-based Temporal Modelling of Repeated Intent for Sequential Recommendation
- Brewing Vodka: Distilling Pure Knowledge for Lightweight Threat Detection in Audit Logs
- Towards Multimodal Inductive Learning: Adaptively Embedding MMKG via Prototypes
- Logic-Aware Knowledge Graph Reasoning for Structural Sparsity under Large Language Model Supervision
- Subgraph-Aware Training of Language Models for Knowledge Graph Completion Using Structure-Aware Contrastive Learning
- Hyper-Relational Knowledge Representation Learning with Multi-Hypergraph Disentanglement
- Paths-over-Graph: Knowledge Graph Enpowered Large Language Model Reasoning
- Effective Instruction Parsing Plugin for Complex Logical Query Answering on Knowledge Graphs
- Multimodal Graph-based Variational Mixture of Experts Network for Zero-shot Multimodal Information Extraction
- Multimodal Knowledge Graph Error Detection with Disentanglement VAE and Multi-Grained Triplet Confidence
- DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach
- Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
- Synergizing Large Language Models and Knowledge-based Reasoning for Interpretable Feature Engineering
- Dual Operation Aggregation Graph Neural Networks for Solving Flexible Job-Shop Scheduling Problem with Reinforcement Learning
- Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
- Disentangled Condensation for Large-scale Graphs
- STKOpt: Automated Spatio-Temporal Knowledge Optimization for Traffic Prediction
- LP-DIXIT: Evaluating Explanations for Link Prediction on Knowledge Graphs using Large Language Models
- Hyperbolic-Euclidean Deep Mutual Learning
- Heterogeneous Graph Transfer Learning for Category-aware Cross-Domain Sequential Recommendation
- Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection
- On the Cross-Graph Transferability of Dynamic Link Prediction
- Ranking on Dynamic Graphs: An Effective and Robust Band-Pass Disentangled Approach
- TESA: A Trajectory and Semantic-aware Dynamic Heterogeneous Graph Neural Network
- Dynamic Graph Unlearning: A General and Efficient Post-Processing Method via Gradient Transformation
- Subgraph Federated Unlearning
- Grasp the Key Takeaways from Source Domain for Few Shot Graph Domain Adaptation
- Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation
- SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation
- Balancing Graph Embedding Smoothness in Self-supervised Learning via Information-Theoretic Decomposition
- Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach
- Dynamic Gradient Influencing for Viral Marketing Using Graph Neural Networks
- Triangle Matters! TopDyG: Topology-aware Transformer for Link Prediction on Dynamic Graphs
- Enhancing Cross-domain Link Prediction via Evolution Process Modeling
- Division-of-Thoughts: Harnessing Hybrid Language Model Synergy for Efficient On-Device Agents
- FG-CIBGC: A Unified Framework for Fine-Grained and Class-Incremental Behavior Graph Classification
- Automatic Instruction Data Selection for Large Language Models via Uncertainty-Aware Influence Maximization
- Unleashing the Power of Large Language Model for Denoising Recommendation
- Instruction Vulnerability Prediction for WebAssembly with Semantic Enhanced Code Property Graph
- P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network
- Hypergraph-based Zero-shot Multi-modal Product Attribute Value Extraction
- Graph Meets LLM for Review Personalization based on User Votes
- Rankformer: A Graph Transformer for Recommendation based on Ranking Objective
- Dual Graph Denoising Model for Social Recommendation
- Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation
- Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
- Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model
- UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs
- A Plug-in Critiquing Approach for Knowledge Graph Recommendation Systems via Representative Sampling.
- Hyperbolic Variational Graph Auto-Encoder for Next POI Recommendation
- Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation
- Rumor Detection on Social Media with Reinforcement Learning-based Key Propagation Graph Generator
- Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation
- Uncertainty-aware Graph Structure Learning
- Joint Graph Rewiring and Feature Denoising via Spectral Resonance
- Homomorphism Expressivity of Spectral Invariant Graph Neural Networks
- Energy-based Backdoor Defense Against Federated Graph Learning
- Towards a Complete Logical Framework for GNN Expressiveness
- On the Hölder Stability of Multiset and Graph Neural Networks
- Language Representations Can be What Recommenders Need: Findings and Potentials
- Robustness Inspired Graph Backdoor Defense
- Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity
- Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks
- A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules
more
- LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation
- Beyond Random Masking: When Dropout meets Graph Convolutional Networks
- When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach
- Clique Number Estimation via Differentiable Functions of Adjacency Matrix Permutations
- URLOST: Unsupervised Representation Learning without Stationarity or Topology
- Charting the Design Space of Neural Graph Representations for Subgraph Matching
- GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks
- PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph
- RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs
- Learning Efficient Positional Encodings with Graph Neural Networks
- CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening
- Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention
- When narrower is better: the narrow width limit of Bayesian parallel branching neural networks
- Homomorphism Counts as Structural Encodings for Graph Learning
- GOttack: Universal Adversarial Attacks on Graph Neural Networks via Graph Orbits Learning
- Learning to Explore and Exploit with GNNs for Unsupervised Combinatorial Optimization
- GRAIN: Exact Graph Reconstruction from Gradients
- Improving Graph Neural Networks by Learning Continuous Edge Directions
- Graph Neural Networks Gone Hogwild
- Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings
- Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians
- Is uniform expressivity too restrictive? Towards efficient expressivity of GNNs
- Bonsai: Gradient-free Graph Condensation for Node Classification
- ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design
- Generating Freeform Endoskeletal Robots
- Valid Conformal Prediction for Dynamic GNNs
- ContextGNN: Beyond Two-Tower Recommendation Systems
- Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space
- Exact Certification of (Graph) Neural Networks Against Label Poisoning
- GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation
- GraphRouter: A Graph-based Router for LLM Selections
- Learning Geometric Reasoning Networks For Robot Task And Motion Planning
- MANTRA: The Manifold Triangulations Assemblage
- AutoG: Towards automatic graph construction from tabular data
- Instant Policy: In-Context Imitation Learning via Graph Diffusion
- E(3)-equivariant models cannot learn chirality: Field-based molecular generation
- Beyond Mere Token Analysis: A Hypergraph Metric Space Framework for Defending Against Socially Engineered LLM Attacks
- Systematic Relational Reasoning With Epistemic Graph Neural Networks
- Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks
- Decoupled Subgraph Federated Learning
- The Effectiveness of Curvature-Based Rewiring and the Role of Hyperparameters in GNNs Revisited
- Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning
- Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries
- Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows
- GraphBridge: Towards Arbitrary Transfer Learning in GNNs
- Towards Explaining the Power of Constant-depth Graph Neural Networks for Structured Linear Programming
- Generalizing Weisfeiler-Lehman Kernels to Subgraphs
- Generating Graphs via Spectral Diffusion
- Redefining the task of Bioactivity Prediction
- gRNAde: Geometric Deep Learning for 3D RNA inverse design
- Neural Causal Graph for Interpretable and Intervenable Classification
- GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation
- InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization
- CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
- Group Ligands Docking to Protein Pockets
- Accurate and Scalable Graph Neural Networks via Message Invariance
- DUALFormer: Dual Graph Transformer
- Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
- MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
- MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
- When do GFlowNets learn the right distribution?
- Revisiting Random Walks for Learning on Graphs
- Neural Spacetimes for DAG Representation Learning
- Towards Bridging Generalization and Expressivity of Graph Neural Networks
- E(n) Equivariant Topological Neural Networks
- Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling, and Zero-Shot Transfer
- Towards Foundation Models for Mixed Integer Linear Programming
- A Generic Framework for Conformal Fairness
- Learning Graph Quantized Tokenizers
- Graph Neural Networks Can (Often) Count Substructures
- Graph Transformers Dream of Electric Flow
- Demystifying Topological Message-Passing with Relational Structures: A Case Study on Oversquashing in Simplicial Message-Passing
- Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations
- GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring
- Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems
- Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
- Differentiable Integer Linear Programming
- On the Completeness of Invariant Geometric Deep Learning Models
- Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming
- HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining
- BANGS: Game-theoretic Node Selection for Graph Self-Training
- Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
- Training-Free Message Passing for Learning on Hypergraphs
- Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs
- What Are Good Positional Encodings for Directed Graphs?
- Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
- Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective
- A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
- Learning Graph Invariance by Harnessing Spuriosity
- Periodic Materials Generation using Text-Guided Joint Diffusion Model
- Understanding Virtual Nodes: Oversquashing and Node Heterogeneity
- Open-Set Graph Anomaly Detection via Normal Structure Regularisation
- Beyond Circuit Connections: A Non-Message Passing Graph Transformer Approach for Quantum Error Mitigation
- Learning Long Range Dependencies on Graphs via Random Walks
- Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning
- Biologically Plausible Brain Graph Transformer
- ECD: A Machine Learning Benchmark for Predicting Enhanced-Precision Electronic Charge Density in Crystalline Inorganic Materials
- Learning Equivariant Non-Local Electron Density Functionals
- Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization
- Equivariant Masked Position Prediction for Efficient Molecular Representation
- Precedence-Constrained Winter Value for Effective Graph Data Valuation
- GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning
- Centrality-guided Pre-training for Graph
- PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders
- Spreading Out-of-Distribution Detection on Graphs
- Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features
- DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
- Subgraph Federated Learning for Local Generalization
- Learning system dynamics without forgetting
- Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs
- GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs
- Bundle Neural Network for message diffusion on graphs
- GPromptShield: Elevating Resilience in Graph Prompt Tuning Against Adversarial Attacks
- Learning Partial Graph Matching via Optimal Partial Transport
- A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation
- SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels
- Node-Time Conditional Prompt Learning in Dynamic Graphs
- Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation
- Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation
- Adam-mini: Use Fewer Learning Rates To Gain More
- From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
- Multi-objective Differentiable Neural Architecture Search
- Learning Splitting Heuristics in Divide-and-Conquer SAT Solvers with Reinforcement Learning
- Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks
- Learning local equivariant representations for quantum operators
- PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
- Rethinking the role of frames for SE(3)-invariant crystal structure modeling
- Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
- Graph Sparsification via Mixture of Graphs
- BodyGen: Advancing Towards Efficient Embodiment Co-Design
- BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics
- Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification
- Fully-inductive Node Classification on Arbitrary Graphs
- Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning
- Scale-Free Graph-Language Models
- Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
- Learning Molecular Representation in a Cell
- Edge Prompt Tuning for Graph Neural Networks
- Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems
- Towards Continuous Reuse of Graph Models via Holistic Memory Diversification
- Multi-Label Node Classification with Label Influence Propagation
- Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
- Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs
- Explanations of GNN on Evolving Graphs via Axiomatic Layer edges
- REBIND: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring
- Grammar Reinforcement Learning: path and cycle counting in graphs with a Context-Free Grammar and Transformer approach
- Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning
- Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling
- When Graph Neural Networks Meet Dynamic Mode Decomposition
- Rationalizing and Augmenting Dynamic Graph Neural Networks
- KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
- Spectro-Riemannian Graph Neural Networks
- DistillHGNN: A Knowledge Distillation Approach for High-Speed Hypergraph Neural Networks
- Linear Transformer Topological Masking with Graph Random Features
- Higher-Order Graphon Neural Networks: Approximation and Cut Distance
- MeshMask: Physics-Based Simulations with Masked Graph Neural Networks
- PharmacoMatch: Efficient 3D Pharmacophore Screening via Neural Subgraph Matching
- BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP
- HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters
- HyperPLR: Hypergraph Generation through Projection, Learning, and Reconstruction
- Learning to Select Nodes in Branch and Bound with Sufficient Tree Representation
- Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
- Accelerating Training with Neuron Interaction and Nowcasting Networks
- Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
- Training One-Dimensional Graph Neural Networks is NP-Hard
- GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
- N-ForGOT: Towards Not-forgetting and Generalization of Open Temporal Graph Learning
- GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
- Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing
- Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement
- SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs
- REVISITING MULTI-PERMUTATION EQUIVARIANCE THROUGH THE LENS OF IRREDUCIBLE REPRESENTATIONS
- On the Expressive Power of Sparse Geometric MPNNs
- BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
- Structuring Benchmark into Knowledge Graphs to Assist Large Language Models in Retrieving and Designing Models
- Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series
- On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instance Representation
- Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning
- Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference
- GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
- ST-GCond: Self-supervised and Transferable Graph Dataset Condensation
- Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features
- Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
- Deep Signature: Characterization of Large-Scale Molecular Dynamics
- Let Your Features Tell The Differences: Understanding Graph Convolution By Feature Splitting
- Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
- Data Center Cooling System Optimization Using Offline Reinforcement Learning
- Improving Equivariant Networks with Probabilistic Symmetry Breaking
- SAGEPhos: Sage Bio-Coupled and Augmented Fusion for Phosphorylation Site Detection
- Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
- Locality Sensitive Avatars From Video
- Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment
- Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
- Beyond Sequence: Impact of Geometric Context for RNA Property Prediction
- MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks
- DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
- TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics
- FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fields
- PIORF: Physics-Informed Ollivier-Ricci Flow for Long–Range Interactions in Mesh Graph Neural Networks
- UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery
- Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion
- EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing
- Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
- Quality Measures for Dynamic Graph Generative Models
- Procedural Synthesis of Synthesizable Molecules
- Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation
- How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension
- Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models
- Graph-based Document Structure Analysis
- Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency
- Topological Schrödinger Bridge Matching
- Advancing Graph Generation through Beta Diffusion
- Bias Mitigation in Graph Diffusion Models
- Factor Graph-based Interpretable Neural Networks
- On the Benefits of Attribute-Driven Graph Domain Adaptation
- Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck
- Enhancing Graph Of Thought: Enhancing Prompts with LLM Rationales and Dynamic Temperature Control
- INFER: A Neural-symbolic Model For Extrapolation Reasoning on Temporal Knowledge Graph
- Beyond Graphs: Can Large Language Models Comprehend Hypergraphs?
- FACTS: A Factored State-Space Framework for World Modelling
- RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph
- Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning
- Topological Zigzag Spaghetti for Diffusion-based Generation and Prediction on Graphs
- Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models
- Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
- MAGNet: Motif-Agnostic Generation of Molecules from Scaffolds
- ReSi: A Comprehensive Benchmark for Representational Similarity Measures
- Fast and Accurate Blind Flexible Docking
- IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning
- Synthesizing Realistic fMRI: A Physiological Dynamics-Driven Hierarchical Diffusion Model for Efficient fMRI Acquisition
- GraphArena: Evaluating and Exploring Large Language Models on Graph Computation
- Erasing Concept Combination from Text-to-Image Diffusion Model
- DyCAST: Learning Dynamic Causal Structure from Time Series
- UniCoTT: A Unified Framework for Structural Chain-of-Thought Distillation
- CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design
- AtomSurf: Surface Representation for Learning on Protein Structures
- Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs
- Contextualizing biological perturbation experiments through language
- SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects
- A Large-scale Training Paradigm for Graph Generative Models
- CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation
- Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval
- PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training
- Vector-ICL: In-context Learning with Continuous Vector Representations
- Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion
- Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data
- UniGLM: Training One Unified Language Model for Text-Attributed Graphs Embedding
- CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders
- D2: Customizing Two-Stage Graph Neural Networks for Early Rumor Detection through Cascade Diffusion Prediction
- Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
- LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework
- FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning
- HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning
- Self-supervised Time-aware Heterogeneous Hypergraph Learning for Dynamic Graph-level Classification
- Edge Classification on Graphs: New Directions in Topological Imbalance
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- MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models
- An Aspect Performance-aware Hypergraph Neural Network for Review-based Recommendation
- Improving CTR Prediction with Graph-Enhanced Interest Networks for Sparse Behavior Sequences
- Hyperdimensional Representation Learning for Node Classification and Link Prediction
- Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning
- Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly Detection
- Spectrum-based Modality Representation Fusion Graph Convolutional Network for Multimodal Recommendation
- Graph Size-imbalanced Learning with Energy-guided Structural Smoothing
- Training MLPs on Graphs without Supervision
- Robustness Verification of Deep Graph Neural Networks Tightened by Linear Approximation
- Heterophilic Graph Neural Networks Optimization with Causal Message-passing
- LightGNN: Simple Graph Neural Network for Recommendation
- Neo-TKGC: Enhancing Temporal Knowledge Graph Completion with Integrated Node Weights and Future Information
- Inductive Graph Few-shot Class Incremental Learning
- Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
- DiffGraph: Heterogeneous Graph Diffusion Model
- RSM: Reinforced Subgraph Matching Framework with Fine-grained Operation based Search Plan
- Mitigating Overfitting in Graph Neural Networks via Feature and Hyperplane Perturbation
- Hawkes Point Process-enhanced Dynamic Graph Neural Network
- Teacher-guided Edge Discriminator for Personalized Graph Masked Autoencoder
- StoryWeaver: A Unified World Model for Knowledge-Enhanced Story Character Customization
- Adversarial Contrastive Graph Augmentation with Counterfactual Regularization
- BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning
- Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation
- ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data
- Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection
- Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales
- THGNets: Constrained Temporal Hypergraphs and Graph Neural Networks in Hyperbolic Space for Information Diffusion Prediction
- Advancing Retrosynthesis with Retrieval-Augmented Graph Generation
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- Integrating Large Language Models and Möbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere
- Towards Scalable and Deep Graph Neural Networks via Noise Masking
- Mixed-Curvature Multi-Modal Knowledge Graph Completion
- DUSTED: Dual-Attention Enhanced Spatial Transcriptomics Denoiser
- Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification
- Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution
- Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary Alignment
- Mitigating Pervasive Modality Absence Through Multimodal Generalization and Refinement
- 3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation
- Spatial-Temporal Heterogenous Graph Contrastive Learning for Microservice Workload Prediction
- Topo2Seq: Enhanced Topology Reasoning via Topology Sequence Learning
- Out-of-Distribution Generalization on Graphs via Progressive Inference
- Knowledge-Guided Domain Adaptation Model for Transferring Drug Response Prediction from Cell Lines to Patients
- GLAD: Improving Latent Graph Generative Modeling with Simple Quantization
- Self-Prompting Analogical Reasoning for UAV Object Detection
- Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning
- Dual-Channel Interactive Graph Transformer for Traffic Classification with Message-Aware Flow Representation
- Core Knowledge Learning Framework for Graph
- TabGLM: Tabular Graph Language Model for Learning Transferable Representations Through Multi-Modal Consistency Minimization
- Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
- Highly Imperceptible Black-Box Graph Injection Attacks with Reinforcement Learning
- Self-Explainable Graph Transformer for Link Sign Prediction
- Contextual Structure Knowledge Transfer for Graph Neural Networks
- A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation
- K-ON: Stacking Knowledge on the Head Layer of Large Language Model
- Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations
- Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation
- Federated Graph Condensation with Information Bottleneck Principles
- Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph
- Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature Fusion
- Learning Concept Prerequisite Relation via Global Knowledge Relation Optimization
- AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks
- Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection
- GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
- BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving
- Domain Adaptive Unfolded Graph Neural Networks
- DeepSN: A Sheaf Neural Framework for Influence Maximization
- Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection
- Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation
- Dynamic Interactive Bimodal Hypergraph Networks for Emotion Recognition in Conversations
- Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks
- Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective
- CLIP-driven View-aware Prompt Learning for Unsupervised Vehicle Re-identification
- PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis
- Hybrid-Driving: An Autonomous Driving Decision Framework Integrating Large Language Models, Knowledge Graphs and Driving Rules
- Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation
- FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation
- Prompt-based Unifying Inference Attack on Graph Neural Networks
- Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers
- SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning
- Modeling Inter-Intra Heterogeneity for Graph Federated Learning
- Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering
- HyperDefender: A Robust Framework for Hyperbolic GNNs
- TrustUQA: A Trustful Framework for Unified Structured Data Question Answering
- On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
- MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading
- Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning
- Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck
- Rule-Guided Graph Neural Networks for Explainable Knowledge Graph Reasoning
- LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph
- Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges
- Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation
- Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks
- A Scalable and Effective Alternative to Graph Transformers
- DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation
- Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation
- Sequential Joint Dependency Aware Human Pose Estimation with State Space Model
- HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation
- Structure Balance and Gradient Matching-Based Signed Graph Condensation
- Cluster-guided Contrastive Class-imbalanced Graph Classification
- Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
- THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
- Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience
- HI-DR: Exploiting Health Status-Aware Attention and an EHR Graph+ for Effective Medication Recommendation
- DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching
- MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation
- Spatial-Temporal Knowledge Distillation for Takeaway Recommendation
- ID-GMLM: Intelligent Decision-Making with Integrated Graph Models and Large Language Models
- HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning
- Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs
- Heterogeneous Graph Neural Network on Semantic Tree
- Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation
- Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning
- Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning
- Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models
- Learning Regularization for Graph Inverse Problems
- Graph Consistency and Diversity Measurement for Federated Multi-View Clustering
- Dynamic Graph Learning with Static Relations for Credit Risk Assessment
- Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models
- HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks
- Fine-Grained Graph Representation Learning for Heterogeneous Mobile Networks with Attentive Fusion and Contrastive Learning
- Language Models of Code Are Few-Shot Planners and Reasoners for Multi-Document Summarization with Attribution
- Graph Structure Refinement with Energy-based Contrastive Learning
- Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space
- RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction
- TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs
- Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference
- Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment
- State Encodings for GNN-Based Lifted Planners
- Patch-level Sounding Object Tracking for Audio-Visual Question Answering
- Federated Graph-Level Clustering Network
- Cross-Domain Trajectory Association Based on Hierarchical Spatiotemporal Enhanced Attention Hypergraph
- Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks
- Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
- Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model
- Causal Inference over Visual-Semantic-Aligned Graph for Image Classification
- HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting
- Multiple Feature Refining Network for Visual Emotion Distribution Learning
- GSDiff: Synthesizing Vector Floorplans via Geometry-enhanced Structural Graph Generation
- Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration
- CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework
- Phoneme-Level Feature Discrepancies: A Key to Detecting Sophisticated Speech Deepfakes
- Multiplex Graph Representation Learning with Homophily and Consistency
- Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation
- Knowledge-Enhanced Hierarchical Heterogeneous Graph for Personality Identification with Limited Training Data
- Exploiting Fine-Grained Skip Behaviors for Micro-Video Recommendation
- Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning
- Motif-aware Graph Neural Networks for Networked Time Series Imputation
- GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction
- Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
- MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics
- Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning
- Towards Efficient Object Re-Identification with a Novel Cloud-Edge Collaborative Framework
- Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model
- Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy
- FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction
- Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs—a Graph Sequential Embedding Method
- HHAN: Comprehensive Infectious Disease Source Tracing via Heterogeneous Hypergraph Neural Network
- CG-TGAN: Conditional Generative Adversarial Networks with Graph Neural Networks for Tabular Data Synthesizing
- FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning
- Time Series Supplier Allocation via Deep Black-Litterman Model
- Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation
- Semi-Supervised Clustering Framework for Fine-grained Scene Graph Generation
- MORE: Molecule Pretraining with Multi-Level Pretext Task
- Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models
- SIGraph: Saliency Image-Graph Network for Retinal Disease Classification in Fundus Image
- Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering
- Neural Variable-Order Fractional Differential Equation Networks
- Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion
- A Systematic Exploration of Knowledge Graph Alignment with Large Language Models in Retrieval Augmented Generation
- Structure-Adaptive Multi-View Graph Clustering for Remote Sensing Data
- DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval
- Deep Hypergraph Neural Networks with Tight Framelets
- Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors
- Cross-View Graph Consistency Learning for Invariant Graph Representations
- Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
- FastPERT: Towards Fast Microservice Application Latency Prediction via Structural Inductive Bias over PERT Networks
- GraSP: Simple Yet Effective Graph Similarity Predictions
- GraphAvatar: Compact Head Avatars with GNN-Generated 3D Gaussians
- Sub-Interest-Aware Representation Uniformity for Recommender System
- Infer the Whole from a Glimpse of a Part: Keypoint-Based Knowledge Graph for Vehicle Re-Identification
- Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks
- KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
- Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation
- Collaborative Semantic Consistency Alignment for Blended-Target Domain Adaptation
- Asymmetric Learning for Spectral Graph Neural Networks
- LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation
- TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances
- Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective
- Dual-branch Graph Feature Learning for NLOS Imaging
- Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection
- LOHA: Direct Graph Spectral Contrastive Learning Between Low-Pass and High-Pass Views
- Disentangled Modeling of Preferences and Social Influence for Group Recommendation
- Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIP
- UniFORM: Towards Unified Framework for Anomaly Detection on Graphs
- A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection
- Higher Order Structures for Graph Explanations
- Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning
- Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach
- NBA3D: Neighbor-Based Confidence Adjustment for 3D Rare Object Detection Using LiDAR
- When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline
- STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation
- AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries
- SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation
- When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
- Multi-type MOOCs Recommendation: Leveraging Deep Multi-Relational Representation and Hierarchical Reasoning
- Semi-Implicit Neural Ordinary Differential Equations
- PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration
- McHirc: A Multimodal Benchmark for Chinese Idiom Reading Comprehension
- DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations
- Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation
- Unified Graph Neural Networks Pre-training for Multi-domain Graphs
- Global Attribute-Association Pattern Aggregation for Graph Fraud Detection
- Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily
- DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models
- Discrete Curvature Graph Information Bottleneck
- APKGC: Noise-enhanced Multi-Modal Knowledge Graph Completion with Attention Penalty
- GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation
- Neural Assembler: Learning to Generate Fine-Grained Robotic Assembly Instructions from Multi-View Images
- Leveraging Anatomical Consistency for Multi-Object Detection in Ultrasound Images via Source-free Unsupervised Domain Adaptation
- Community-Centric Graph Unlearning
- EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering
- Rethinking Cancer Gene Identification Through Graph Anomaly Analysis
- Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics
- Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks
- Dynamic Spectral Graph Anomaly Detection
- HYGENE: A Diffusion-Based Hypergraph Generation Method
- GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning
- S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
- MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation
- Single-View Graph Contrastive Learning with Soft Neighborhood Awareness
- Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks
- DepMGNN: Matrixial Graph Neural Network for Video-based Automatic Depression Assessment
- GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality
- Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training
- DOGE: LLMs-Enhanced Hyper-Knowledge Graph Recommender for Multimodal Recommendation
- MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights
- Multi-View Empowered Structural Graph Wordification for Language Models
- Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning
- TGBFormer: Transformer-GraphFormer Blender Network for Video Object Detection
- BrainMAP: Learning Multiple Activation Pathways in Brain Networks
- Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning
- GRPose: Learning Graph Relations for Human Image Generation with Pose Priors
- TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs
- Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation
- Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling
- Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising
- Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs
- Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message Passing
- GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts
- SkipPool: Improved Sparse Hierarchical Graph Pooling with Differentiable Exploration
- Predicting User Behavior in Smart Spaces with LLM-Enhanced Logs and Personalized Prompts
- Mind Individual Information! Principal Graph Learning for Multimedia Recommendation
- Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels
- BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations
- Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning
- Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum
- Robust Heterogeneous Graph Classification for Molecular Property Prediction with Information Bottleneck
- Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation
- Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification
- HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding
- ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection
- Motif Guided Graph Transformers with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification
- Imagine: Image-Guided 3D Part Assembly with Structure Knowledge Graph
- Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion
- Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation
- Refine then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive Refinement
- Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks
- WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization
- SCCS: Deep Neural Spectral Clustering for Self-Supervised Subcellular Structure Segmentation
- Robust Graph Based Social Recommendation Through Contrastive Multi-View Learning
- Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation
- Efficient Traffic Prediction Through Spatio-Temporal Distillation
- Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer
- DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification
- A Simple Graph Contrastive Learning Framework for Short Text Classification
- Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling
- Large Language Model Meets Graph Neural Network in Knowledge Distillation
- Learning Complex Heterogeneous Multimodal Fake News via Social Latent Network Inference
- Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting
- Deep Graph Online Hashing for Multi-Label Image Retrieval
- DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation
- Disentangled Contrastive Bundle Recommendation with Conditional Diffusion
- Exploring Rationale Learning for Continual Graph Learning
- Bridging Training and Execution via Dynamic Directed Graph-Based Communication in Cooperative Multi-Agent Systems
- NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving
- Deep Multi-modal Graph Clustering via Graph Transformer Network
- M²N: A Progressive Macro-to-Micro 3D Modeling Scheme for Unveiling Drug-Target Affinity
- Logic Induced High-Order Reasoning Network for Event-Event Relation Extraction
- Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling
- Accurate Nucleic Acid-Binding Residue Identification Based Domain-Adaptive Protein Language Model and Explainable Geometric Deep Learning
- Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering
- AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification
- Scene Graph-Grounded Image Generation
- SGDiff: Scene Graph Guided Diffusion Model for Image Collaborative SegCaptioning
- Encoder of Thoughts: Enhancing Planning Ability in Language Agents Through Structural Embedding
- DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation
- MSR: A Multifaceted Self-Retrieval Framework for Microscopic Cascade Prediction
- Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location
- LLaVA Needs More Knowledge: Retrieval Augmented Natural Language Generation with Knowledge Graph for Explaining Thoracic Pathologies
- NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification
- Motion Prior Knowledge Learning with Homogeneous Language Descriptions for Moving Infrared Small Target Detection
- Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
- DPCL-Diff：Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning
- Contrastive Auxiliary Learning with Structure Transformation for Heterogeneous Graphs
- Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection
- AutoFEA: Enhancing AI Copilot by Integrating Finite Element Analysis Using Large Language Models with Graph Neural Networks
- Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks
- Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning
- Scale Equivariant Graph Metanetworks
- Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering
- Graph Diffusion Transformers for Multi-Conditional Molecular Generation
- Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss
- Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning
- Distributed-Order Fractional Graph Operating Network
- Are Graph Neural Networks Optimal Approximation Algorithms?
- Unitary Convolutions for Learning on Graphs and Groups
- Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos
more
- Generative Hierarchical Materials Search
- Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
- Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
- Dissecting the Failure of Invariant Learning on Graphs
- Improving Generalization of Dynamic Graph Learning via Environment Prompt
- Robust Graph Neural Networks via Unbiased Aggregation
- UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems
- FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
- HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
- EyeGraph: Modularity-aware Spatio Temporal Graph Clustering for Continuous Event-based Eye Tracking
- On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks
- Generating Highly Designable Proteins with Geometric Algebra Flow Matching
- Uncovering the Redundancy in Graph Self-supervised Learning Models
- Learning Superconductivity from Ordered and Disordered Material Structures
- GLBench: A Comprehensive Benchmark for Graph with Large Language Models
- A Topology-aware Graph Coarsening Framework for Continual Graph Learning
- RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
- Can Graph Learning Improve Planning in LLM-based Agents?
- MeMo: Meaningful, Modular Controllers via Noise Injection
- Robust Offline Active Learning on Graphs
- On provable privacy vulnerabilities of graph representations
- Spiking Graph Neural Network on Riemannian Manifolds
- Unifying Generation and Prediction on Graphs with Latent Graph Diffusion
- Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
- Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models
- KnowGPT: Knowledge Graph based Prompting for Large Language Models
- Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective
- Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms
- Continuous Partitioning for Graph-Based Semi-Supervised Learning
- Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation
- $\textit{NeuroPath}$: A Neural Pathway Transformer for Joining the Dots of Human Connectomes
- Dynamic Rescaling for Training GNNs
- Graph Diffusion Policy Optimization
- Learning on Large Graphs using Intersecting Communities
- Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed
- Cell ontology guided transcriptome foundation model
- What do Graph Neural Networks learn? Insights from Tropical Geometry
- Exponential Quantum Communication Advantage in Distributed Inference and Learning
- IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors
- Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
- Graph-based Uncertainty Metrics for Long-form Language Model Generations
- Microstructures and Accuracy of Graph Recall by Large Language Models
- DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis
- PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling
- GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
- Road Network Representation Learning with the Third Law of Geography
- TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering
- Towards Dynamic Message Passing on Graphs
- SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning
- Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
- CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
- Improving Temporal Link Prediction via Temporal Walk Matrix Projection
- DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
- How Does Message Passing Improve Collaborative Filtering?
- Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks
- Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
- Equivariant spatio-hemispherical networks for diffusion MRI deconvolution
- Schur Nets: exploiting local structure for equivariance in higher order graph neural networks
- On the Scalability of GNNs for Molecular Graphs
- Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model
- Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond
- Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series
- Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images
- RAGraph: A General Retrieval-Augmented Graph Learning Framework
- Supra-Laplacian Encoding for Transformer on Dynamic Graphs
- Higher-Order Causal Message Passing for Experimentation with Complex Interference
- Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective
- Graph Neural Networks and Arithmetic Circuits
- TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing
- DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation
- Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism
- HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation
- Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level
- Faster Local Solvers for Graph Diffusion Equations
- Non-convolutional graph neural networks.
- Energy-based Epistemic Uncertainty for Graph Neural Networks
- Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series
- MeshXL: Neural Coordinate Field for Generative 3D Foundation Models
- TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
- Graph Neural Networks Need Cluster-Normalize-Activate Modules
- BackTime: Backdoor Attacks on Multivariate Time Series Forecasting
- Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting
- UniTox: Leveraging LLMs to Curate a Unified Dataset of Drug-Induced Toxicity from FDA Labels
- Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks
- Towards Effective Planning Strategies for Dynamic Opinion Networks
- The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
- Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
- Deep Graph Mating
- Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
- GraphVis: Boosting LLMs with Visual Knowledge Graph Integration
- Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers
- Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures
- Enhancing Chess Reinforcement Learning with Graph Representation
- Suitable is the Best: Task-Oriented Knowledge Fusion in Vulnerability Detection
- Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
- Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
- Gradient Rewiring for Editable Graph Neural Network Training
- Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
- Association Pattern-aware Fusion for Biological Entity Relationship Prediction
- Logical characterizations of recurrent graph neural networks with reals and floats
- Unified Graph Augmentations for Generalized Contrastive Learning on Graphs
- DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach
- The Intelligible and Effective Graph Neural Additive Network
- 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
- Bayesian Optimization of Functions over Node Subsets in Graphs
- WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking
- DistrictNet: Decision-aware learning for geographical districting
- If You Want to Be Robust, Be Wary of Initialization
- An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval
- Mixture of Link Predictors on Graphs
- Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
- Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets
- FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features
- NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
- GFT: Graph Foundation Model with Transferable Tree Vocabulary
- Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation
- On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks
- On the Power of Small-size Graph Neural Networks for Linear Programming
- Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion
- Long-range Brain Graph Transformer
- Graph Classification via Reference Distribution Learning: Theory and Practice
- An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning
- Semantic Routing via Autoregressive Modeling
- Graph Neural Networks Do Not Always Oversmooth
- SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation
- ARC: A Generalist Graph Anomaly Detector with In-Context Learning
- Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network
- Relational Concept Bottleneck Models
- Extracting Training Data from Molecular Pre-trained Models
- Deep Equilibrium Algorithmic Reasoning
- UniIF: Unified Molecule Inverse Folding
- Cost-efficient Knowledge-based Question Answering with Large Language Models
- What is my quantum computer good for? Quantum capability learning with physics-aware neural networks
- Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach
- GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction
- Discrete-state Continuous-time Diffusion for Graph Generation
- PageRank Bandits for Link Prediction
- What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks
- DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
- Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention
- A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
- DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering
- TopoFR: A Closer Look at Topology Alignment on Face Recognition
- EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics
- Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing
- Graphcode: Learning from multiparameter persistent homology using graph neural networks
- A Foundation Model for Zero-shot Logical Query Reasoning
- MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs
- Graph Learning for Numeric Planning
- Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification
- Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
- Probabilistic Graph Rewiring via Virtual Nodes
- Amortized Eigendecomposition for Neural Networks
- Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
- Long-range Meta-path Search on Large-scale Heterogeneous Graphs
- RelBench: A Benchmark for Deep Learning on Relational Databases
- Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation
- Learning to Solve Quadratic Unconstrained Binary Optimization in a Classification Way
- Learning rigid-body simulators over implicit shapes for large-scale scenes and vision
- G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
- Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph
- Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination
- State Space Models on Temporal Graphs: A First-Principles Study
- GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
- Non-Euclidean Mixture Model for Social Network Embedding
- AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction
- InstructG2I: Synthesizing Images from Multimodal Attributed Graphs
- Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis
- Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
- Graph Coarsening with Message-Passing Guarantees
- Reconstruct and Match: Out-of-Distribution Robustness via Topological Homogeneity
- ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
- Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?
- Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure
- GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
- MOTIVE: A Drug-Target Interaction Graph For Inductive Link Prediction
- Unifying Homophily and Heterophily for Spectral Graph Neural Networks via Triple Filter Ensembles
- Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval
- Entity Alignment with Noisy Annotations from Large Language Models
- Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search
- Differentiable Structure Learning with Partial Orders
- Graph neural networks and non-commuting operators
- GRANOLA: Adaptive Normalization for Graph Neural Networks
- Generative Semi-supervised Graph Anomaly Detection
- Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases
- The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains
- Learning Cooperative Trajectory Representations for Motion Forecasting
- Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
- Even Sparser Graph Transformers
- Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs
- Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction
- SpeAr: A Spectral Approach for Zero-Shot Node Classification
- Revisiting Score Propagation in Graph Out-of-Distribution Detection
- Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling
- Towards Universal Mesh Movement Networks
- Continuous Product Graph Neural Networks
- HGDL: Heterogeneous Graph Label Distribution Learning
- Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces
- FedGMark: Certifiably Robust Watermarking for Federated Graph Learning
- Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks
- FairWire: Fair Graph Generation
- EGonc : Energy-based Open-Set Node Classification with substitute Unknowns
- Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
- Boosting Graph Pooling with Persistent Homology
- A Structure-Aware Framework for Learning Device Placements on Computation Graphs
- FUGAL: Feature-fortified Unrestricted Graph Alignment
- DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks
- Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention
- Deep Homomorphism Networks
- Diffusion Twigs with Loop Guidance for Conditional Graph Generation
- TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs
- LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
- Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module
- Metric Space Magnitude for Evaluating the Diversity of Latent Representations
- Towards Principled Graph Transformers
- Spatio-Spectral Graph Neural Networks
- ProtGO: Function-Guided Protein Modeling for Unified Representation Learning
- DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph
- Tackling Uncertain Correspondences for Multi-Modal Entity Alignment
- Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs
- A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning
- Gaussian Graph Network: Learning Efficient and Generalizable Gaussian Representations from Multi-view Images
- Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
- Generative Modelling of Structurally Constrained Graphs
- GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning
- DeiSAM: Segment Anything with Deictic Prompting
- Bridge the Points: Graph-based Few-shot Segment Anything Semantically
- UniGAD: Unifying Multi-level Graph Anomaly Detection
- SpelsNet: Surface Primitive Elements Segmentation by B-Rep Graph Structure Supervision
- Motion Graph Unleashed: A Novel Approach to Video Prediction
- Analysis of Corrected Graph Convolutions
- UniMTS: Unified Pre-training for Motion Time Series
- FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection
- DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
- Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
- What Matters in Graph Class Incremental Learning? An Information Preservation Perspective
- Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover
- Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models
- UGC: Universal Graph Coarsening
- Variational Flow Matching for Graph Generation
- Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections
- Domain Adaptation for Large-Vocabulary Object Detectors
- PowerGraph: A power grid benchmark dataset for graph neural networks
- Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs
- Transformers need glasses! Information over-squashing in language tasks
- ProG: A Graph Prompt Learning Benchmark
- Pure Message Passing Can Estimate Common Neighbor for Link Prediction
- GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules
- Almost Surely Asymptotically Constant Graph Neural Networks
- EGSST: Event-based Graph Spatiotemporal Sensitive Transformer for Object Detection
- ProTransformer: Robustify Transformers via Plug-and-Play Paradigm
- Graph Edit Distance with General Costs Using Neural Set Divergence
- Post-Hoc Reversal: Are We Selecting Models Prematurely?
- FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
- LLaMo: Large Language Model-based Molecular Graph Assistant
- Graph Convolutions Enrich the Self-Attention in Transformers!
- Federated Graph Learning for Cross-Domain Recommendation
- Dynamic 3D Gaussian Fields for Urban Areas
- Generalizing CNNs to graphs with learnable neighborhood quantization
- Assembly Fuzzy Representation on Hypergraph for Open-Set 3D Object Retrieval
- Understanding Transformer Reasoning Capabilities via Graph Algorithms
- Online Relational Inference for Evolving Multi-agent Interacting Systems
- GC-Bench: An Open and Unified Benchmark for Graph Condensation
- Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
- Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors
- Exploring Molecular Pretraining Model at Scale
- A probability contrastive learning framework for 3D molecular representation learning
- Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba
- Rethinking the Capacity of Graph Neural Networks for Branching Strategy
- Similarity-Navigated Conformal Prediction for Graph Neural Networks
- Differentially Private Graph Diffusion with Applications in Personalized PageRanks
- Graph Contrastive Learning with Adversarial Structure Refinement (GCL-ASR)
- Towards Cross-Domain Few-Shot Graph Anomaly Detection
- HomoMGC: Homophily-Enhanced Adaptive Graph Refinement for Multi-View Graph Clustering
- Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis
- Graph Community Augmentation with GMM-Based Modeling in Latent Space
- TROPICAL: Transformer-Based Hypergraph Learning for Camouflaged Fraudster Detection
- GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs
- HFGNN: Efficient Graph Neural Networks Using Hub-Fringe Structures
- Informative Subgraphs Aware Masked Auto-Encoder in Dynamic Graphs
- Adaptive Graph Neural Networks for Cold-Start Multimedia Recommendation
more
- Scalable Graph Classification via Random Walk Fingerprints
- Align Along Time and Space: A Graph Latent Diffusion Model for Traffic Dynamics Prediction
- Cross-Store Next-Basket Recommendation
- Solving Combinatorial Optimization Problem Over Graph Through QUBO Transformation and Deep Reinforcement Learning
- Transitivity-Encoded Graph Attention Networks for Complementary Item Recommendations
- Debunking Fake News in Online Social Networks Without Text Analysis
- HyperTime: A Dynamic Hypergraph Approach for Time Series Classification
- An Explainable Recommender System by Integrating Graph Neural Networks and User Reviews
- Influence-Aware Group Recommendation for Social Media Propagation
- Graph Rhythm Network: Beyond Energy Modeling for Deep Graph Neural Networks
- Channel-Attentive Graph Neural Networks
- Periodic Prompt on Dynamic Heterogeneous Graph for Next Basket Recommendation
- Zero-Shot Link Prediction in Knowledge Graphs with Large Language Models
- Hypergraph-Enhanced Contrastively Regularized Transformer for Multi-Behavior E-commerce Product Recommendation
- CL4CO: A Curriculum Training Framework for Graph-Based Neural Combinatorial Optimization
- AnomalyLLM: Few-Shot Anomaly Edge Detection for Dynamic Graphs Using Large Language Models
- FGLBA: Enabling Highly-Effective and Stealthy Backdoor Attack on Federated Graph Learning
- Towards Expressive Graph Representations for Graph Neural Networks
- Multi-Hyperbolic Space-Based Heterogeneous Graph Attention Network
- Futures Quantitative Investment With Heterogeneous Continual Graph Neural Network
- Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection
- Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization
- An Efficient Graph Autoencoder with Lightweight Desmoothing Decoder and Long-Range Modeling
- Weakly-Supervised Graph Classification with Even a Single Key Subgraph Per Class
- Reducing Unfairness in Distributed Community Detection
- Exploitation or Exploration Next? User Behavior Decoupling and Emerging Intent Modeling for Next-Item Recommendation
- Multi-Modal Sarcasm Detection via Dual Synergetic Perception Graph Convolutional Networks
- Revisiting Graph Homophily Measures
- Decomposing force fields as flows on graphs reconstructed from stochastic trajectories
- What Do GNNs Actually Learn? Towards Understanding their Representations
- Ising on the Graph: Task-specific Graph Subsampling via the Ising Model
- Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies
- Cayley Graph Propagation
- Simple GNNs with Low Rank Non-parametric Aggregators
- Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing
- TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs
- Asymptotic generalization error of a single-layer graph convolutional network
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- Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph
- Effectiveness of SDP rounding using Hopfield Networks
- xAI-Drop: Don't use what you cannot explain
- Understanding Feature/Structure Interplay in Graph Neural Networks
- Knowledge Graph Preference Contrastive Learning for Recommendation
- DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs
- GraTeD-MLP: Efficient Node Classification via Graph Transformer Distillation to MLP
- A Neuro-Symbolic Framework for Answering Graph Pattern Queries in Knowledge Graphs
- Optimal performance of Graph Convolutional Networks on the Contextual Stochastic Block Model
- Leveraging Temporal Graph Networks Using Module Decoupling
- Do We Really Need Complicated Graph Learning Models? -- A Simple but Effective Baseline
- A Pure Transformer Pretraining Framework on Text-attributed Graphs
- Hyperbolic Kernel Convolution: A Generic Framework
- Faster Optimization on Sparse Graphs via Neural Reparametrization
- NP-NDS: A Nature-Powered Nonlinear Dynamical System for Power Grid Forecasting
- UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs
- Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning
- Towards a GNN Framework for Combinatorial Optimization Problems
- Oversquashing in Hypergraph Neural Networks
- Smoothed Graph Contrastive Learning via Seamless Proximity Integration
- Stochastic Experience-Replay for Graph Continual Learning
- Enhancing Topological Dependencies in Spatio-Temporal Graphs with Cycle Message Passing Blocks
- Matrix Completion with Hypergraphs: Sharp Thresholds and Efficient Algorithms
- Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
- Sub-graph Based Diffusion Model for Link Prediction
- Multi-Scale High-Resolution Logarithmic Grapher Module for Efficient Vision GNNs
- CrysAtom: Distributed Representation of Atoms for Crystal Property Prediction
- Scalable and Efficient Temporal Graph Representation Learning via Forward Recent Sampling
- A Transferable Graph Autoencoder Framework for Network Alignment
- Motif-aware Attribute Masking for Molecular Graph Pre-training
- On the Expressivity of Persistent Homology in Graph Learning
- Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion Models
- Neural Scaling Laws on Graphs
- CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs
- Dynamic Representations of Global Crises: A Temporal Knowledge Graph For Conflicts, Trade and Value Networks
- Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training
- Message Passing on Semantic-Anchor-Graphs for Fine-grained Emotion Representation Learning and Classification
- Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs
- Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance Augmentation
- CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages
- Leveraging Context-Aware Prompting for Commit Message Generation
- Bridging Local Details and Global Context in Text-Attributed Graphs
- The Emergence of Compositional Languages in Multi-entity Referential Games: from Image to Graph Representations
- CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage
- Inference Helps PLMs' Conceptual Understanding: Improving the Abstract Inference Ability with Hierarchical Conceptual Entailment Graphs
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- A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-Tuning
- Discovering Knowledge-Critical Subnetworks in Pretrained Language Models
- Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction
- TKGT: Redefinition and A New Way of Text-to-Table Tasks Based on Real World Demands and Knowledge Graphs Augmented LLMs
- Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs
- Generative Subgraph Retrieval for Knowledge Graph--Grounded Dialog Generation
- Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs
- MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs
- Knowledge Graph Enhanced Large Language Model Editing
- Improving Knowledge Graph Completion with Structure-Aware Supervised Contrastive Learning
- MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion
- Joint Pre-Encoding Representation and Structure Embedding for Efficient and Low-Resource Knowledge Graph Completion
- ATAP: Automatic Template-Augmented Commonsense Knowledge Graph Completion via Pre-Trained Language Models
- Multi-Granularity History and Entity Similarity Learning for Temporal Knowledge Graph Reasoning
- TimeR$^4$ : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering
- CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering
- Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering
- Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering
- MAR: Matching-Augmented Reasoning for Enhancing Visual-based Entity Question Answering
- Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge Utilization
- Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering
- Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering
- StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children's Story-Based Learning
- XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs
- Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text
- Do LLMs suffer from Multi-Party Hangover? A Diagnostic Approach to Addressee Recognition and Response Selection in Conversations
- Enhancing High-order Interaction Awareness in LLM-based Recommender Model
- Can Large Language Models Enhance Predictions of Disease Progression? Investigating Through Disease Network Link Prediction
- Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement
- An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models
- On Fake News Detection with LLM Enhanced Semantics Mining
- Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training
- DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction
- Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation
- DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection
- LLMs Are Prone to Fallacies in Causal Inference
- CELLO: Causal Evaluation of Large Vision-Language Models
- The All-Seeing Project V2: Towards General Relation Comprehension of the Open World
- HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation
- OpenPSG: Open-Set Panoptic Scene Graph Generation via Large Multimodal Models
- Synchronous Diffusion for Unsupervised Smooth Non-rigid 3D Shape Matching
- Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration
- Graph Neural Network Causal Explanation via Neural Causal Models
- Confidence Self-calibration for Multi-label Class-Incremental Learning
- Upper-Body Hierarchical Graph for Skeleton Based Emotion Recognition in Assistive Driving
- Skeleton-Based Group Activity Recognition via Spatial-Temporal Panoramic Graph
- CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion
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- GTP-4o: Modality-Prompted Heterogeneous Graph Learning for Omni-Modal Biomedical Representation
- SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs
- GKGNet: Group K-Nearest Neighbor Based Graph Convolutional Network for Multi-label Image Recognition
- POET: Prompt Offset Tuning for Continual Human Action Adaptation
- MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Prediction
- SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic
- Generalizable Symbolic Optimizer Learning
- Nonverbal Interaction Detection
- Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation
- SAM-Guided Graph Cut for 3D Instance Segmentation
- On the Topology Awareness and Generalization Performance of Graph Neural Networks
- Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection
- PairingNet: A Learning-Based Pair-Searching and -Matching Network for Image Fragments
- SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking
- Structured-NeRF: Hierarchical Scene Graph with Neural Representation
- Semantic Diversity-Aware Prototype-Based Learning for Unbiased Scene Graph Generation
- SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition
- Towards Scene Graph Anticipation
- Multi-modal Video Dialog State Tracking in the Wild
- SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization
- ControlLLM: Augment Language Models with Tools by Searching on Graphs
- Occlusion Handling in 3D Human Pose Estimation with Perturbed Positional Encoding
- Lane Graph as Path: Continuity-Preserving Path-Wise Modeling for Online Lane Graph Construction
- A Graph-Based Approach for Category-Agnostic Pose Estimation
- GPSFormer: A Global Perception and Local Structure Fitting-Based Transformer for Point Cloud Understanding
- ``Where am I?'' Scene Retrieval with Language
- Generating 3D House Wireframes with Semantics
- GRACE: Graph-Based Contextual Debiasing for Fair Visual Question Answering
- TreeSBA: Tree-Transformer for Self-supervised Sequential Brick Assembly
- Heterogeneous Graph Learning for Scene Graph Prediction in 3D Point Clouds
- SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding
- Visual Relationship Transformation
- SNP: Structured Neuron-Level Pruning to Preserve Attention Scores
- Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction
- EchoScene: Indoor Scene Generation via Information Echo Over Scene Graph Diffusion
- AnimateMe: 4D Facial Expressions via Diffusion Models
- KeypointDETR: An End-to-End 3D Keypoint Detector
- Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks
- Masked Video and Body-Worn IMU Autoencoder for Egocentric Action Recognition
- SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow
- NAMER: Non-autoregressive Modeling for Handwritten Mathematical Expression Recognition
- Contextual Correspondence Matters: Bidirectional Graph Matching for Video Summarization
- SENC: Handling Self-collision in Neural Cloth Simulation
- Learning to Distinguish Samples for Generalized Category Discovery
- Multi-Granularity Sparse Relationship Matrix Prediction Network for End-to-End Scene Graph Generation
- Multiscale Graph Texture Network
- External Knowledge Enhanced 3D Scene Generation from Sketch
- DriveLM: Driving with Graph Visual Question Answering
- MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment
- Improving Hyperbolic Representations via Gromov-Wasserstein Regularization
- GraphBEV: Towards Robust BEV Feature Alignment for Multi-modal 3D Object Detection
- Continuity Preserving Online CenterLine Graph Learning
- COHO: Context-Sensitive City-Scale Hierarchical Urban Layout Generation
- Enhanced Motion Forecasting with Visual Relation Reasoning
- Frontier-Enhanced Topological Memory with Improved Exploration Awareness for Embodied Visual Navigation
- RICA\^2\: Rubric-Informed, Calibrated Assessment of Actions
- SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data
- VSViG: Real-Time Video-Based Seizure Detection via Skeleton-Based Spatiotemporal ViG
- Expanding Scene Graph Boundaries: Fully Open-Vocabulary Scene Graph Generation via Visual-Concept Alignment and Retention
- SAGS: Structure-Aware 3D Gaussian Splatting
- A Fair Ranking and New Model for Panoptic Scene Graph Generation
- HiFi-Score: Fine-Grained Image Description Evaluation with Hierarchical Parsing Graphs
- PRET: Planning with Directed Fidelity Trajectory for Vision and Language Navigation
- Mew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network
- Hetecooper: Feature Collaboration Graph for Heterogeneous Collaborative Perception
- DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
- All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining
- AGS-GNN: Attribute-guided Sampling for Graph Neural Networks
- A Deep Prediction Framework for Multi-Source Information via Heterogeneous GNN
- Causal Subgraph Learning for Generalizable Inductive Relation Prediction
- Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space
- Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks
- ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems
- TSC: A Simple Two-Sided Constraint against Over-Smoothing
- Reserving-Masking-Reconstruction Model for Self-Supervised Heterogeneous Graph Representation
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- Embedding Two-View Knowledge Graphs with Class Inheritance and Structural Similarity
- Enhancing Contrastive Learning on Graphs with Node Similarity
- Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks
- RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes
- PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph
- GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing
- An Efficient Subgraph GNN with Provable Substructure Counting Power
- HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning
- The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs
- Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-level Anomaly Detection
- RoutePlacer: An End-to-End Routability-Aware Placer with Graph Neural Network
- Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity
- HiGPT: Heterogeneous Graph Language Model
- Unsupervised Heterogeneous Graph Rewriting Attack via Node Clustering
- GeoMix: Towards Geometry-Aware Data Augmentation
- Rethinking Order Dispatching in Online Ride-Hailing Platforms
- Topology-aware Embedding Memory for Continual Learning on Expanding Networks
- PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer
- Repeat-Aware Neighbor Sampling for Dynamic Graph Learning
- Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks
- Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models
- Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks
- Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction
- DPHGNN: A Dual Perspective Hypergraph Neural Networks
- Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning
- Propagation Structure-Aware Graph Transformer for Robust and Interpretable Fake News Detection
- Graph Bottlenecked Social Recommendation
- Influence Maximization via Graph Neural Bandits
- Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations
- GPFedRec: Graph-Guided Personalization for Federated Recommendation
- DyGKT: Dynamic Graph Learning for Knowledge Tracing
- MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline
- Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction
- An Energy-centric Framework for Category-free Out-of-distribution Node Detection in Graphs
- The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field
- Effective Clustering on Large Attributed Bipartite Graphs
- SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph
- Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective
- Unifying Evolution, Explanation, and Discernment: A Generative Approach for Dynamic Graph Counterfactuals
- Reimagining Graph Classification from a Prototype View with Optimal Transport: Algorithm and Theorem
- Efficient and Effective Implicit Dynamic Graph Neural Network
- Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion
- Latent Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Model
- Self-Supervised Learning for Graph Dataset Condensation
- A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs
- Dynamic Neural Dowker Network: Approximating Persistent Homology in Dynamic Directed Graphs
- Conditional Logical Message Passing Transformer for Complex Query Answering
- MemMap: An Adaptive and Latent Memory Structure for Dynamic Graph Learning
- Balanced Confidence Calibration for Graph Neural Networks
- ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
- Bridging and Compressing Feature and Semantic Spaces for Robust Graph Neural Networks: An Information Theory Perspective
- Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
- LPFormer: An Adaptive Graph Transformer for Link Prediction
- GraphWiz: An Instruction-Following Language Model for Graph Computational Problems
- Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning
- Graph Mamba: Towards Learning on Graphs with State Space Models
- Unsupervised Alignment of Hypergraphs with Different Scales
- Killing Two Birds with One Stone: Cross-modal Reinforced Prompting for Graph and Language Tasks
- Customizing Graph Neural Network for CAD Assembly Recommendation
- AsyncET: Asynchronous Representation Learning for Knowledge Graph Entity Typing
- Graph Condensation for Open-World Graph Learning
- Capturing Homogeneous Influence among Students: Hypergraph Cognitive Diagnosis for Intelligent Education Systems
- Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization
- SEBot: Structural Entropy Guided Multi-View Contrastive learning for Social Bot Detection
- Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling
- Certified Robustness on Visual Graph Matching via Searching Optimal Smoothing Range
- AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation
- Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions
- STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts
- Graph Cross Supervised Learning via Generalized Knowledge
- Cross-Context Backdoor Attacks against Graph Prompt Learning
- Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach
- Privacy-Preserved Neural Graph Databases
- IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks
- Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective
- Resurrecting Label Propagation for Graphs with Heterophily and Label Noise
- Advancing Molecule Invariant Representation via Privileged Substructure Identification
- Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise
- Graph Data Condensation via Self-expressive Graph Structure Reconstruction
- Rethinking Fair Graph Neural Networks from Re-balancing
- Graph Anomaly Detection with Few Labels: A Data-Centric Approach
- Representation Learning of Temporal Graphs with Structural Roles
- One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes
- Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement
- Path-based Explanation for Knowledge Graph Completion
- FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks
- Federated Graph Learning with Structure Proxy Alignment
- Learning Attributed Graphlets: Predictive Graph Mining by Graphlets with Trainable Attribute
- When Box Meets Graph Neural Network in Tag-aware Recommendation
- How Powerful is Graph Filtering for Recommendation
- Topology-monitorable Contrastive Learning on Dynamic Graphs
- Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning
- Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link Prediction
- Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing
- QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering
- NeuroCut: A Neural Approach for Robust Graph Partitioning
- Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation
- Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs
- Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data
- Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling
- Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck
- GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models
- Can Modifying Data Address Graph Domain Adaptation?
- LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?
- Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering
- Conformalized Link Prediction on Graph Neural Networks
- Flexible Graph Neural Diffusion with Latent Class Representation Learning
- SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning
- Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go Indifferent
- Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective
- Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs
- A Novel Prompt Tuning for Graph Transformers: Tailoring Prompts to Graph Topologies
- Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Broad Physical Dynamics Learning
- Pre-train and Refine: Towards Higher Efficiency in K-Agnostic Community Detection without Quality Degradation
- DiffusionE: Reasoning on Knowledge Graphs via Diffusion-based Graph Neural Networks
- DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization
- Advancement in Graph Understanding: A Multimodal Benchmark and Fine-Tuning of Vision-Language Models
- Revisiting Structured Sentiment Analysis as Latent Dependency Graph Parsing
- Unlocking the Power of Large Language Models for Entity Alignment
- POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation
- S2GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis
- Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph
- MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning
- MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
- Event-Radar: Event-driven Multi-View Learning for Multimodal Fake News Detection
- LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP
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- Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency
- Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions
- InstructProtein: Aligning Human and Protein Language via Knowledge Instruction
- HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation
- ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions
- HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs
- Exploiting Intrinsic Multilateral Logical Rules for Weakly Supervised Natural Language Video Localization
- Modality-Aware Integration with Large Language Models for Knowledge-Based Visual Question Answering
- Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation
- Graph Language Models
- Hyper-CL: Conditioning Sentence Representations with Hypernetworks
- ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base
- A Unified Temporal Knowledge Graph Reasoning Model Towards Interpolation and Extrapolation
- Evaluating Very Long-Term Conversational Memory of LLM Agents
- Limits of Theory of Mind Modelling in Dialogue-Based Collaborative Plan Acquisition
- [Progressively Modality Freezing for Multi-Modal Entity Alignment](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/f