API Reference

• dgl.DGLGraph
  • Adding nodes and edges
  • Querying graph structure
  • Querying batch summary
  • Querying sub-graph/parent-graph belonging information
  • Removing nodes and edges
  • Transforming graph
  • Converting from/to other format
  • Using Node/edge features
  • Computing with DGLGraph
  • Batch and Unbatch
  • Mapping between subgraph and parent graph
  • Synchronize features between subgraph and parent graph
• dgl.DGLHeteroGraph
  • Conversion to and from heterogeneous graphs
  • Querying metagraph structure
  • Querying graph structure
  • Using Node/edge features
  • Transforming graph
  • Computing with DGLHeteroGraph
• dgl.readout
  • Graph Readout
• dgl.batched_heterograph
  • Merge and decompose
  • Query batch summary
• dgl.nn
  • NN Modules (PyTorch)
  • NN Modules (MXNet)
  • NN Modules (Tensorflow)
• Feature Initializer
  • dgl.init.base_initializer
  • dgl.init.zero_initializer
• dgl.function
  • Message functions
  • Reduce functions
• dgl.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
• dgl.propagate
  • dgl.propagate.prop_nodes
  • dgl.propagate.prop_edges
  • dgl.propagate.prop_nodes_bfs
  • dgl.propagate.prop_nodes_topo
  • dgl.propagate.prop_edges_dfs
• dgl.udf
  • EdgeBatch
  • NodeBatch
• dgl.contrib.sampling
  • Distributed sampler
• dgl.data
  • Utils
  • Dataset Classes
  • Molecular Graphs
• dgl.transform
  • dgl.transform.line_graph
  • dgl.transform.reverse
  • dgl.transform.to_simple_graph
  • dgl.transform.to_bidirected
  • dgl.transform.khop_adj
  • dgl.transform.khop_graph
  • dgl.transform.laplacian_lambda_max
  • dgl.transform.knn_graph
  • dgl.transform.segmented_knn_graph
  • dgl.transform.add_self_loop
  • dgl.transform.remove_self_loop
  • dgl.transform.metapath_reachable_graph
• Graph Store – Graph for multi-processing and distributed training
  • Querying the distributed setting
  • Using Node/edge features
  • Computing with Graph store
  • Construct a graph store
• dgl.nodeflow
  • Querying graph structure
  • Converting to other format
  • Using Node/edge features
  • Mapping between NodeFlow and parent graph
  • Synchronize features between NodeFlow and parent graph
  • Computing with NodeFlow
• dgl.random
  • dgl.random.seed
• dgl.model_zoo
  • Chemistry