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1.6.0

Notes

  • Installation
    • Installation via Binaries
    • Installation from Source
    • Frequently Asked Questions
  • Introduction by Example
    • Data Handling of Graphs
    • Common Benchmark Datasets
    • Mini-batches
    • Data Transforms
    • Learning Methods on Graphs
  • Creating Message Passing Networks
    • The “MessagePassing” Base Class
    • Implementing the GCN Layer
    • Implementing the Edge Convolution
  • Creating Your Own Datasets
    • Creating “In Memory Datasets”
    • Creating “Larger” Datasets
    • Frequently Asked Questions
  • Advanced Mini-Batching
    • Pairs of Graphs
    • Bipartite Graphs
  • Memory-Efficient Aggregations
  • TorchScript Support
    • Converting GNN Models
    • Creating Jittable GNN Operators
  • External Resources

Package Reference

  • torch_geometric
  • torch_geometric.nn
    • Convolutional Layers
    • Dense Convolutional Layers
    • Normalization Layers
    • Global Pooling Layers
    • Pooling Layers
    • Dense Pooling Layers
    • Unpooling Layers
    • Models
    • DataParallel Layers
  • torch_geometric.data
  • torch_geometric.datasets
  • torch_geometric.transforms
  • torch_geometric.utils
  • torch_geometric.io
pytorch_geometric
  • Docs »
  • Search
  • Edit on GitHub

© Copyright 2020, Matthias Fey Revision 31dca649.

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