DGL
0.5.x

Get Started

  • Install DGL
  • Working with different backends
  • DGL at a Glance

User Guide

  • Chapter 1: Graph
  • Chapter 2: Message Passing
  • Chapter 3: Building GNN Modules
  • Chapter 4: Graph Data Pipeline
  • Chapter 5: Training Graph Neural Networks
  • Chapter 6: Stochastic Training on Large Graphs
  • Chapter 7: Distributed Training

API Reference

  • dgl
  • dgl.data
  • dgl.dataloading
  • dgl.DGLGraph
  • dgl.distributed
  • dgl.function
  • dgl.nn
  • dgl.ops
  • dgl.sampling
  • User-defined Functions

Model Tutorials

  • Graph neural networks and its variants
  • Batching many small graphs
  • Generative models
  • Revisit classic models from a graph perspective

Developer Notes

  • Contribute to DGL
  • DGL Foreign Function Interface (FFI)

Misc

  • FAQ
  • Environment Variables
  • Resources
DGL
  • »
  • User Guide
  • Edit on GitHub

User GuideΒΆ

  • Chapter 1: Graph
  • Chapter 2: Message Passing
  • Chapter 3: Building GNN Modules
  • Chapter 4: Graph Data Pipeline
  • Chapter 5: Training Graph Neural Networks
  • Chapter 6: Stochastic Training on Large Graphs
  • Chapter 7: Distributed Training

© Copyright 2018, DGL Team Revision b7e51126.

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