- Matthias Fey and Jan E. Lenssen: Fast Graph Representation Learning with :pyg:`null` PyTorch Geometric [Paper, Slides (3.3MB), Poster (2.3MB), Notebook]
- :stanford:`Stanford CS224W: Machine Learning with Graphs`: Graph Machine Learning lectures [:youtube:`null` Youtube]
- :stanford:`Stanford University`: A collection of graph machine learning tutorial blog posts, fully realized with :pyg:`null` PyG [Website]
- Soumith Chintala: Automatic Differentiation, :pytorch:`null` PyTorch and Graph Neural Networks [Talk (starting from 26:15)]
- Stanford University: Graph Neural Networks using :pyg:`null` PyTorch Geometric [:youtube:`null` YouTube (starting from 33:33)]
- Antonio Longa, Gabriele Santin and Giovanni Pellegrini: :pyg:`null` PyTorch Geometric Tutorial [Website, :github:`null` GitHub]
- DAIR.AI | elvis: Introduction to GNNs with :pyg:`null` PyTorch Geometric [Website, :colab:`null` 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:`null` GitHub, Documentation]
- Weihua Hu et al.: :ogb:`null` Open Graph Benchmark - A collection of large-scale benchmark datasets, data loaders, and evaluators for graph machine learning, including :pyg:`PyG` support and examples [Website, :github:`null` GitHub]
- DeepSNAP - A :pytorch:`PyTorch` library that bridges between graph libraries such as NetworkX and :pyg:`PyG` [:github:`null` GitHub, Documentation]
- Quiver - A distributed graph learning library for :pyg:`PyG` [:github:`null` GitHub]
- Benedek Rozemberczki: PyTorch Geometric Temporal - A temporal GNN library built upon :pyg:`PyG` [:github:`null` GitHub, Documentation]
- Yixuan He: PyTorch Geometric Signed Directed - A signed and directed GNN library built upon :pyg:`PyG` [:github:`null` GitHub, Documentation]
- Steeve Huang: Hands-on Graph Neural Networks with :pytorch:`null` PyTorch & :pyg:`null` PyTorch Geometric [Tutorial, Code]
- Francesco Landolfi: :pyg:`null` PyTorch Geometric Tutorial [PDF (0.4MB)]
- Sachin Sharma: How to Deploy (almost) any :pyg:`null` 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 :pyg:`PyG` [Devpost, :github:`null` GitHub]
- Amitoz Azad: Primal-Dual Algorithm for Total Variation Processing on Graphs [Jupyter]
- Manan Goel: Recommending Amazon Products using Graph Neural Networks in :pyg:`null` PyTorch Geometric [:wandb:`null` W&B Report]
- Kùzu: Remote Backend for :pyg:`null` PyTorch Geometric [:colab:`null` Colab]
- Aniket Saxena: Graph Neural Networks-based Explanation App using :pyg:`null` PyTorch Geometric [Website, :github:`null` GitHub]
- Mashaan Alshammari: Graph Attention in :pyg:`null` PyTorch Geometric [:youtube:`null` Youtube, :github:`null` GitHub]
- Mashaan Alshammari: Graph Convolutional Networks (GCNs) in :pytorch:`null` PyTorch [:youtube:`null` Youtube, :github:`null` GitHub]
- Mashaan Alshammari: GCN and SGC in :pytorch:`null` PyTorch [:youtube:`null` Youtube, :github:`null` GitHub],
- Mashaan Alshammari: GCN Variants SGC and ASGC in :pytorch:`null` PyTorch [:youtube:`null` Youtube, :github:`null` GitHub]