• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 131,793 matches

• 2025
• 
  Fan Liu, Liqiang Nie:
  Advancing Recommender Systems with Graph Convolutional Networks. Springer 2025, ISBN 978-3-031-85092-9, pp. 1-157
• 
  Pere-Lluís Huguet Cabot:
  From text to knowledge: multilingual information extraction for knowledge graph construction. Sapienza University of Rome, Italy, 2025
• 
  Sven P. Voigt:
  A Knowledge Graph for Materials Informatics. Georgia Institute of Technology, Atlanta, GA, USA, 2025
• 
  Jing Xu:
  Connecting the dots: Exploring backdoor attacks on graph neural networks. Delft University of Technology, Netherlands, 2025
• 
  Federico Battista, Marianna De Santis:
  Dealing with inequality constraints in large-scale semidefinite relaxations for graph coloring and maximum clique problems. 4OR 23(1): 65-95 (2025)
• 
  Haiyan Chen, Mingxu Guo:
  Coefficients of the Tutte polynomial and minimal edge cuts of a graph. Adv. Appl. Math. 166: 102868 (2025)
• 
  Fawaz Khaled Alarfaj, Shabnam Shahzadi:
  Enhancing Fraud Detection in Banking With Deep Learning: Graph Neural Networks and Autoencoders for Real-Time Credit Card Fraud Prevention. IEEE Access 13: 20633-20646 (2025)
• 
  Fadi Alharbi, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Mohanad Mohammed:
  Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer Classification. IEEE Access 13: 37724-37736 (2025)
• 
  Davide Andreoletti, Cristina Rottondi, Silvia Giordano, Andrea Bianco:
  Scalable and Privacy-Preserving Inter-AS Routing Through Machine-Learning-Based Graph Pruning. IEEE Access 13: 21891-21905 (2025)
• 
  Aparajita Bose, Byunghoon Kim:
  Graph-Based Approach for Industrial Market Segmentation Using Financial Transaction Network Structure and Firm's Attribute. IEEE Access 13: 16394-16412 (2025)
• 
  Bin Chen, Hongyi Li, Ze Shi:
  Research on Parameter-Efficient Knowledge Graph Completion Methods and Their Performance in the Cybersecurity Field. IEEE Access 13: 22998-23012 (2025)
• 
  Ismael Elsharkawi, Hossam Sharara, Ahmed Rafea:
  SViG: A Similarity-Thresholded Approach for Vision Graph Neural Networks. IEEE Access 13: 19379-19387 (2025)
• 
  Guangrui Fan, Aixiang Liu, Chao Zhang:
  ContrastLOS: A Graph-Based Deep Learning Model With Contrastive Pre-Training for Improved ICU Length-of-Stay Prediction. IEEE Access 13: 34132-34148 (2025)
• 
  Lijun Fan, Shichao Yi, Wenrui Guan, Pingxin Wang:
  UPN-GCN: Update Positive-Negative Graph Convolution Neural Network in Non-Euclidean Structured Data. IEEE Access 13: 39076-39086 (2025)
• 
  Yifang Feng, Tao Chen, Yue Li, Yonghan Gao, Guoli Zhang, Guowei Cao:
  Short-Term Vehicle Speed Prediction Based on Spatio-Temporal Traffic Graph Networks. IEEE Access 13: 43557-43571 (2025)
• 
  Stefano Ferretti, Gabriele D'Angelo, Vittorio Ghini:
  Enhancing Anti-Money Laundering Frameworks: An Application of Graph Neural Networks in Cryptocurrency Transaction Classification. IEEE Access 13: 50201-50215 (2025)
• 
  Hongfang Gong, Yingjing Ding, Minyi Ma:
  A Few-Shot Knowledge Graph Completion Model With Neighbor Filter and Affine Attention. IEEE Access 13: 12308-12320 (2025)
• 
  Ang Guo, Yanghe Liu, Shiyu Shao, Xiaowei Shi, Zhenni Feng:
  Spatial-Temporal Fusion Graph Neural Networks With Mixed Adjacency for Weather Forecasting. IEEE Access 13: 15812-15824 (2025)
• 
  Kang Han, Li Xu:
  GRL-ITransformer: An Intelligent Method for Multi-Wind-Turbine Wake Analysis Based on Graph Representation Learning With Improved Transformer. IEEE Access 13: 43572-43592 (2025)
• 
  Van Thuy Hoang, Tien-Bach-Thanh Do, Jinho Seo, Seung Charlie Kim, Luong Vuong Nguyen, Duong Nguyen Minh Huy, Hyeon-Ju Jeon, O-Joun Lee:
  Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products. IEEE Access 13: 15158-15167 (2025)
• 
  Stanley Hsu, Ege Gülce, Teoman Berkay Ayaz, Alper Ozcan, Akhan Akbulut:
  Multi-Graph Anomaly Detection in Business Processes With Scalable Neural Architectures. IEEE Access 13: 34969-34984 (2025)
• 
  Yong Huang:
  Multimedia Tasks-Oriented Edge Computing Offloading Scheme Based on Graph Neural Network in Vehicular Networks. IEEE Access 13: 9780-9791 (2025)
• 
  Conggui Huang:
  A Relationship-Aware Feature Update Method for Enhanced Graph-Based Neural Networks. IEEE Access 13: 37096-37107 (2025)
• 
  Yuan Huang, Feilong Han, Qimeng Feng:
  A Novel Model for Predicting PM2.5 Concentrations Utilizing Graph Convolutional Networks and Transformer. IEEE Access 13: 30613-30622 (2025)
• 
  Senthil Jayapal, R. Annamalai:
  Graph Neural Network With Hessian-Based Locally Linear Embedding for Cancer Metastasis Analysis in Lymph Nodes Using DeepLab Segmentation. IEEE Access 13: 46448-46458 (2025)
• 
  Liting Jing, Chenlong Zhou, Di Feng, Yubo Dou, Xiaoyan Fan, Shaofei Jiang:
  A Patent Infringement Analysis Approach Based on Patent Knowledge Graph Driven Fusion of Graph and Image Similarity. IEEE Access 13: 29944-29968 (2025)
• 
  Muhammad Junaid Khan, Adil Masood Siddiqui, Hamid Saeed Khan, Faisal Akram, Muhammad Jaleed Khan:
  MuRelSGG: Multimodal Relationship Prediction for Neurosymbolic Scene Graph Generation. IEEE Access 13: 47042-47054 (2025)
• 
  Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag M. Sallabi, Khaled Shuaib, Heba M. Khater:
  Blockchain-Powered Secure and Scalable Threat Intelligence System With Graph Convolutional Autoencoder and Reinforcement Learning Feedback Loop. IEEE Access 13: 24736-24748 (2025)
• 
  Wooyoung Kim, HaeMin Jung, Wooju Kim:
  Knowledge Graph as Pre-Training Corpus for Structural Reasoning via Multi-Hop Linearization. IEEE Access 13: 7273-7283 (2025)
• 
  Young-Jin Kim, Hanjin Kim, Beomsu Ha, Won-Tae Kim:
  Federated Digital Twins: A Scheduling Approach Based on Temporal Graph Neural Network and Deep Reinforcement Learning. IEEE Access 13: 20763-20777 (2025)