Skip to content

Latest commit

 

History

History
52 lines (27 loc) · 6.18 KB

resources.rst

File metadata and controls

52 lines (27 loc) · 6.18 KB
Raw

External Resources

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