DGL
0.1.x
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Graph-based Neural Network Models
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
FAQ
Environment Variables
DGL
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API Reference
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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
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