DGL
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Working with different backends
A Blitz Introduction to DGL - Node Classification
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
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DGL Foreign Function Interface (FFI)
Misc
Frequently Asked Questions (FAQ)
Environment Variables
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dgl.data.chem.CanonicalBondFeaturizer
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dgl.data.chem.CanonicalBondFeaturizer
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