DGL
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Get Started

  • 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
  • Edit on GitHub

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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