DGL
2.1.x
Get Started
Install and Setup
A Blitz Introduction to DGL
Advanced Materials
π Stochastic Training of GNNs with GraphBolt
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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π Tutorial: Graph Transformer
Tutorials: dgl.sparse
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
π dgl.graphbolt
dgl.nn (PyTorch)
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
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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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v: 2.1.x
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