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2.7.0

Install PyG

  • Installation

Get Started

  • Introduction by Example
  • Colab Notebooks and Video Tutorials

Tutorials

  • Design of Graph Neural Networks
  • Working with Graph Datasets
  • Use-Cases & Applications
  • Distributed Training
    • Distributed Training in PyG
    • Multi-GPU Training in Pure PyTorch
    • Multi-Node Training using SLURM

Advanced Concepts

  • Advanced Mini-Batching
  • Memory-Efficient Aggregations
  • Hierarchical Neighborhood Sampling
  • Compiled Graph Neural Networks
  • TorchScript Support
  • Scaling Up GNNs via Remote Backends
  • Managing Experiments with GraphGym
  • CPU Affinity for PyG Workloads

Package Reference

  • torch_geometric
  • torch_geometric.nn
  • torch_geometric.data
  • torch_geometric.loader
  • torch_geometric.sampler
  • torch_geometric.datasets
  • torch_geometric.transforms
  • torch_geometric.utils
  • torch_geometric.explain
  • torch_geometric.metrics
  • torch_geometric.distributed
  • torch_geometric.contrib
  • torch_geometric.graphgym
  • torch_geometric.profile

Cheatsheets

  • GNN Cheatsheet
  • Dataset Cheatsheet

External Resources

  • External Resources
pytorch_geometric
  • Distributed Training
  • View page source

Distributed Training

Distributed Training in PyG
Multi-GPU Training in Pure PyTorch
Multi-Node Training using SLURM
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