DGL
1.1.x

Get Started

  • Install and Setup
  • A Blitz Introduction to DGL

Advanced Materials

  • 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
    • Chapter 8: Mixed Precision Training
  • 用户指南
  • 사용자 가이드
  • 🆕 Tutorials: dgl.sparse
  • Stochastic Training of GNNs
  • Training on CPUs
  • Training on Multiple GPUs
  • Distributed training
  • Paper Study with DGL

API Reference

  • dgl
  • dgl.data
  • dgl.dataloading
  • dgl.DGLGraph
  • dgl.distributed
  • dgl.function
  • dgl.geometry
  • dgl.nn (PyTorch)
  • dgl.nn (TensorFlow)
  • dgl.nn (MXNet)
  • dgl.nn.functional
  • dgl.ops
  • dgl.optim
  • dgl.sampling
  • 🆕 dgl.sparse
  • dgl.multiprocessing
  • dgl.transforms
  • User-defined Functions

Notes

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

Misc

  • Frequently Asked Questions (FAQ)
  • Environment Variables
  • Resources
DGL
  • User Guide
  • Edit on GitHub

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
  • Chapter 8: Mixed Precision Training
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