Stars
A package for conformal prediction with conditional guarantees.
Must-read papers on graph foundation models (GFMs)
Accompanied repositories for our paper Graph foundation model
A Jupyter widget using sigma.js to render interactive networks.
Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms
Open-source datasets for paper "Fairness in Graph Mining: A Survey".
Train Gradient Boosting models that are both high-performance *and* Fair!
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Paper List for Fair Graph Learning (FairGL).
Examples of how to create colorful, annotated equations in Latex using Tikz.
A curated list of graph data augmentation papers.
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of biomedical datasets relating to drug discovery: a knowledge…
A true minimalistic LaTeX beamer template
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
Code and resources on scalable and efficient Graph Neural Networks
A collection of research papers and software related to explainability in graph machine learning.
Hardware accelerated, batchable and differentiable optimizers in JAX.
A great intro dataset for data exploration & visualization (alternative to iris).
A collection of modern/faster/saner alternatives to common unix commands.
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
β-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Verification
A community-maintained Python framework for creating mathematical animations.