External Resources

  • Matthias Fey and Jan E. Lenssen: Fast Graph Representation Learning with PyTorch Geometric [Paper, Slides (3.3MB), Poster (2.3MB), Notebook]

  • Stanford University: A collection of graph machine learning tutorial blog posts, fully realized with PyG [Website]

  • Soumith Chintala: Automatic Differentiation, PyTorch and Graph Neural Networks [Talk (starting from 26:15)]

  • Stanford University: Graph Neural Networks using PyTorch Geometric [Talk (starting from 33:33)]

  • Antonio Longa, Gabriele Santin and Giovanni Pellegrini: PyTorch Geometric Tutorial [Website, GitHub]

  • DAIR.AI | elvis: Introduction to GNNs with PyTorch Geometric [Website, Colab]

  • Nicolas Chaulet et al.: PyTorch Points 3D - A framework for running common deep learning models for point cloud analysis tasks that heavily relies on Pytorch Geometric [GitHub, Documentation]

  • Weihua Hu et al.: Open Graph Benchmark - A collection of large-scale benchmark datasets, data loaders, and evaluators for graph machine learning, including support and examples [Website, GitHub]

  • DeepSNAP - A library that bridges between graph libraries such as NetworkX and [GitHub, Documentation]

  • Quiver - A distributed graph learning library for [GitHub]

  • Benedek Rozemberczki: PyTorch Geometric Temporal - A temporal GNN library built upon [GitHub, Documentation]

  • Yixuan He: PyTorch Geometric Signed Directed - A signed and directed GNN library built upon [GitHub, Documentation]

  • Steeve Huang: Hands-on Graph Neural Networks with PyTorch & PyTorch Geometric [Tutorial, Code]

  • Francesco Landolfi: PyTorch Geometric Tutorial [PDF (0.4MB)]

  • Sachin Sharma: How to Deploy (almost) any PyTorch Geometric Model on Nvidia’s Triton Inference Server with an Application to Amazon Product Recommendation and ArangoDB [Blog]

  • Amitoz Azad: torch_pdegraph - Solving PDEs on Graphs with [Devpost, GitHub]

  • Amitoz Azad: Primal-Dual Algorithm for Total Variation Processing on Graphs [Jupyter]

  • Manan Goel: Recommending Amazon Products using Graph Neural Networks in PyTorch Geometric [W&B Report]