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2.0.2

Notes

  • Installation
    • Quick Start
    • Installation via Anaconda
    • Installation via Pip Wheels
    • 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
  • Heterogeneous Graph Learning
    • Example Graph
    • Creating Heterogeneous Graphs
    • Heterogeneous Graph Transformations
    • Creating Heterogeneous GNNs
    • Heterogeneous Graph Samplers
  • Loading Graphs from CSV
  • Managing Experiments with GraphGym
    • Highlights
    • Why GraphGym?
    • Basic Usage
    • In-Depth Usage
    • Customizing GraphGym
  • Advanced Mini-Batching
    • Pairs of Graphs
    • Bipartite Graphs
    • Batching Along New Dimensions
  • Memory-Efficient Aggregations
  • TorchScript Support
    • Converting GNN Models
    • Creating Jittable GNN Operators
  • GNN Cheatsheet
    • Graph Neural Network Operators
    • Heterogeneous Graph Neural Network Operators
    • Hypergraph Neural Network Operators
    • Point Cloud Neural Network Operators
  • Colab Notebooks and Video Tutorials
  • 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
    • Functional
    • Model Transformations
    • DataParallel Layers
  • torch_geometric.data
  • torch_geometric.loader
  • torch_geometric.datasets
  • torch_geometric.transforms
  • torch_geometric.utils
  • torch_geometric.graphgym
    • Workflow Modules
    • Model Modules
    • Register Modules
    • Utility Modules
  • torch_geometric.profile
pytorch_geometric
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  • Search

© Copyright 2021, Matthias Fey. Revision 101ed2cb.

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