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2.2.0

Notes

  • Installation
  • Introduction by Example
  • Creating Message Passing Networks
  • Creating Your Own Datasets
  • Heterogeneous Graph Learning
  • Loading Graphs from CSV
  • Managing Experiments with GraphGym
  • Advanced Mini-Batching
  • Memory-Efficient Aggregations
  • TorchScript Support
  • Scaling Up GNNs via Remote Backends
  • GNN Cheatsheet
  • Dataset Cheatsheet
  • Colab Notebooks and Video Tutorials
  • External Resources

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.graphgym
  • torch_geometric.explain
  • torch_geometric.profile
pytorch_geometric
  • Python Module Index

Python Module Index

t
 
t
- torch_geometric
    torch_geometric.data
    torch_geometric.datasets
    torch_geometric.debug
    torch_geometric.explain.algorithm
    torch_geometric.graphgym
    torch_geometric.graphgym.models
    torch_geometric.graphgym.utils
    torch_geometric.loader
    torch_geometric.nn.aggr
    torch_geometric.nn.conv
    torch_geometric.nn.data_parallel
    torch_geometric.nn.encoding
    torch_geometric.nn.functional
    torch_geometric.nn.meta
    torch_geometric.nn.models
    torch_geometric.nn.norm
    torch_geometric.nn.pool
    torch_geometric.nn.unpool
    torch_geometric.profile
    torch_geometric.sampler
    torch_geometric.seed
    torch_geometric.transforms
    torch_geometric.utils

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