Stars
Geometric kernels on manifolds, meshes and graphs
A 15TB Collection of Physics Simulation Datasets
Videos, quizzes, code, and slideshows for an Introduction to Graph Neural Networks course
Search for scientific papers on the command line
Accompanied repositories for our paper Graph foundation model
A Python library for performing outlier detection / implementing open-set classification in high-dimensional data.
It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
TensorDict is a pytorch dedicated tensor container.
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Clean APIs for data cleaning. Python implementation of R package Janitor
Zoomable, animated scatterplots in the browser that scales over a billion points
Graphium: Scaling molecular GNNs to infinity.
Your interactive network visualizing dashboard
Tabular Deep Learning Library for PyTorch
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability
Yet another cross-platform graphical process/system monitor.
A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
A Large-Scale Company Relation Graph for Investment Industry
An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.
GraphGallery is a gallery for benchmarking Graph Neural Networks
Unofficial GRAFF tutorial and implementation in PyG
[ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards and in collaboration with NVIDIA Research.