DGL
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Install DGL
DGL at a Glance
DGL Basics
PageRank with DGL Message Passing
Batched Graph Classification with DGL
Model Tutorials
Model overview
Graph Neural Network and its variant
Dealing with many small graphs
Generative models
Old (new) wines in new bottle
API Reference
API Reference
DGLGraph – Graph with node/edge features
Feature Initializer
BatchedDGLGraph – Enable batched graph operations
Builtin functions
Graph Traversal
Message Propagation
User-defined function related data structures
Graph samplers
Dataset
Transform – Graph Transformation
Notes
Contribute to DGL
FAQ
Environment Variables
Resources
DGL
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API Reference
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API Reference
¶
DGLGraph – Graph with node/edge features
Adding nodes and edges
Querying graph structure
Transforming graph
Converting from/to other format
Using Node/edge features
Computing with DGLGraph
Feature Initializer
dgl.init.base_initializer
dgl.init.zero_initializer
BatchedDGLGraph – Enable batched graph operations
Merge and decompose
Query batch summary
Graph Readout
Builtin functions
Message functions
Reduce functions
Graph Traversal
dgl.traversal.bfs_nodes_generator
dgl.traversal.bfs_edges_generator
dgl.traversal.topological_nodes_generator
dgl.traversal.dfs_edges_generator
dgl.traversal.dfs_labeled_edges_generator
Message Propagation
dgl.propagate.prop_nodes
dgl.propagate.prop_edges
dgl.propagate.prop_nodes_bfs
dgl.propagate.prop_nodes_topo
dgl.propagate.prop_edges_dfs
User-defined function related data structures
EdgeBatch
NodeBatch
Graph samplers
Dataset
Utils
Dataset Classes
Transform – Graph Transformation
dgl.transform.line_graph
dgl.transform.reverse
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