Index

_

__call__() (dgl.dataloading.negative_sampler.Uniform method) __getitem__() (dgl.data.AIFBDataset method) (dgl.DGLGraph method) (dgl.data.AMDataset method) (dgl.data.AmazonCoBuyComputerDataset method) (dgl.data.AmazonCoBuyPhotoDataset method) (dgl.data.BGSDataset method) (dgl.data.BitcoinOTCDataset method) (dgl.data.CiteseerGraphDataset method) (dgl.data.CoauthorCSDataset method) (dgl.data.CoauthorPhysicsDataset method) (dgl.data.CoraFullDataset method) (dgl.data.CoraGraphDataset method) (dgl.data.DGLDataset method) (dgl.data.FB15k237Dataset method) (dgl.data.FB15kDataset method) (dgl.data.FakeNewsDataset method) (dgl.data.FraudAmazonDataset method) (dgl.data.FraudDataset method) (dgl.data.FraudYelpDataset method) (dgl.data.GDELTDataset method) (dgl.data.GINDataset method) (dgl.data.ICEWS18Dataset method) (dgl.data.KarateClubDataset method) (dgl.data.LegacyTUDataset method) (dgl.data.MUTAGDataset method) (dgl.data.MiniGCDataset method) (dgl.data.PPIDataset method) (dgl.data.PubmedGraphDataset method) (dgl.data.QM7bDataset method) (dgl.data.QM9Dataset method) (dgl.data.QM9EdgeDataset method) (dgl.data.RedditDataset method) (dgl.data.SBMMixtureDataset method) (dgl.data.SSTDataset method) (dgl.data.TUDataset method) (dgl.data.WN18Dataset method) (dgl.data.utils.Subset method)

__init__() (dgl.dataloading.AsyncTransferer method) (dgl.sampling.PinSAGESampler method) __len__() (dgl.data.AIFBDataset method) (dgl.data.AMDataset method) (dgl.data.AmazonCoBuyComputerDataset method) (dgl.data.AmazonCoBuyPhotoDataset method) (dgl.data.BGSDataset method) (dgl.data.BitcoinOTCDataset method) (dgl.data.CiteseerGraphDataset method) (dgl.data.CoauthorCSDataset method) (dgl.data.CoauthorPhysicsDataset method) (dgl.data.CoraFullDataset method) (dgl.data.CoraGraphDataset method) (dgl.data.DGLDataset method) (dgl.data.FB15k237Dataset method) (dgl.data.FB15kDataset method) (dgl.data.FakeNewsDataset method) (dgl.data.FraudAmazonDataset method) (dgl.data.FraudDataset method) (dgl.data.FraudYelpDataset method) (dgl.data.GDELTDataset method) (dgl.data.GINDataset method) (dgl.data.ICEWS18Dataset method) (dgl.data.KarateClubDataset method) (dgl.data.LegacyTUDataset method) (dgl.data.MUTAGDataset method) (dgl.data.MiniGCDataset method) (dgl.data.PPIDataset method) (dgl.data.PubmedGraphDataset method) (dgl.data.QM7bDataset method) (dgl.data.QM9Dataset method) (dgl.data.QM9EdgeDataset method) (dgl.data.RedditDataset method) (dgl.data.SBMMixtureDataset method) (dgl.data.SSTDataset method) (dgl.data.TUDataset method) (dgl.data.WN18Dataset method) (dgl.data.utils.Subset method)

A

add_edges() (dgl.DGLGraph method) (in module dgl) add_nodes() (dgl.DGLGraph method) (in module dgl) add_reverse_edges() (in module dgl) add_self_loop() (dgl.DGLGraph method) (in module dgl) adj() (dgl.DGLGraph method) adj_product_graph() (in module dgl) adj_sparse() (dgl.DGLGraph method) adj_sum_graph() (in module dgl) adjacency_matrix() (dgl.DGLGraph method) AGNNConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) AIFBDataset (class in dgl.data)

all_get_embedding() (dgl.nn.pytorch.sparse_emb.NodeEmbedding method) all_set_embedding() (dgl.nn.pytorch.sparse_emb.NodeEmbedding method) AmazonCoBuyComputerDataset (class in dgl.data) AmazonCoBuyPhotoDataset (class in dgl.data) AMDataset (class in dgl.data) apply_edges() (dgl.DGLGraph method) apply_nodes() (dgl.DGLGraph method) APPNPConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) (class in dgl.nn.tensorflow.conv) async_copy() (dgl.dataloading.AsyncTransferer method) AsyncTransferer (class in dgl.dataloading) AtomicConv (class in dgl.nn.pytorch.conv) AvgPooling (class in dgl.nn.mxnet.glob) (class in dgl.nn.pytorch.glob) (class in dgl.nn.tensorflow.glob)

B

barrier() (dgl.distributed.DistGraph method) batch() (in module dgl) batch_num_edges() (dgl.DGLGraph method) batch_num_nodes() (dgl.DGLGraph method) batch_size() (dgl.DGLGraph property) (dgl.udf.EdgeBatch method) (dgl.udf.NodeBatch method) bfs_edges_generator() (in module dgl) bfs_nodes_generator() (in module dgl) BGSDataset (class in dgl.data)

bias (dgl.nn.mxnet.conv.GraphConv attribute) (dgl.nn.pytorch.conv.GraphConv attribute) (dgl.nn.tensorflow.conv.GraphConv attribute) bipartite_from_networkx() (in module dgl) bipartite_from_scipy() (in module dgl) BitcoinOTCDataset (class in dgl.data) block_to_graph() (in module dgl) BlockSampler (class in dgl.dataloading.neighbor) broadcast_edges() (in module dgl) broadcast_nodes() (in module dgl)

C

call() (dgl.nn.tensorflow.glob.AvgPooling method) (dgl.nn.tensorflow.HeteroGraphConv method) (dgl.nn.tensorflow.glob.GlobalAttentionPooling method) (dgl.nn.tensorflow.glob.MaxPooling method) (dgl.nn.tensorflow.glob.SortPooling method) (dgl.nn.tensorflow.glob.SumPooling method) canonical_etypes() (dgl.DGLGraph property) CFConv (class in dgl.nn.pytorch.conv) ChebConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) (class in dgl.nn.tensorflow.conv) check_sha1() (in module dgl.data.utils) CiteseerGraphDataset (class in dgl.data) CoauthorCSDataset (class in dgl.data) CoauthorPhysicsDataset (class in dgl.data) collate_fn() (dgl.data.SBMMixtureDataset method) comm() (dgl.nn.pytorch.sparse_emb.NodeEmbedding property) compact_graphs() (in module dgl)

copy_e() (in module dgl.function) copy_e_max() (in module dgl.ops) copy_e_mean() (in module dgl.ops) copy_e_min() (in module dgl.ops) copy_e_sum() (in module dgl.ops) copy_edge() (in module dgl.function) copy_src() (in module dgl.function) copy_u() (in module dgl.function) (in module dgl.ops) copy_u_max() (in module dgl.ops) copy_u_mean() (in module dgl.ops) copy_u_min() (in module dgl.ops) copy_u_sum() (in module dgl.ops) copy_v() (in module dgl.ops) CoraFullDataset (class in dgl.data) CoraGraphDataset (class in dgl.data) create_block() (in module dgl) create_formats_() (dgl.DGLGraph method)

D

data (dgl.data.AmazonCoBuyComputerDataset attribute) (dgl.data.AmazonCoBuyPhotoDataset attribute) (dgl.data.CoauthorCSDataset attribute) (dgl.data.CoauthorPhysicsDataset attribute) (dgl.data.CoraFullDataset attribute) (dgl.data.KarateClubDataset attribute) data() (dgl.udf.EdgeBatch property) (dgl.udf.NodeBatch property) DenseChebConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) DenseGraphConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) DenseSAGEConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) device() (dgl.DGLGraph property) (dgl.distributed.DistGraph property) dfs_edges_generator() (in module dgl) dfs_labeled_edges_generator() (in module dgl) dgl (module) dgl.data (module) dgl.dataloading (module) dgl.distributed (module) dgl.geometry (module)

dgl.nn (module) dgl.nn.functional (module) dgl.nn.mxnet.conv (module) dgl.nn.mxnet.glob (module) dgl.nn.pytorch.conv (module) dgl.nn.pytorch.glob (module) dgl.nn.tensorflow.conv (module) dgl.nn.tensorflow.glob (module) dgl.optim (module) dgl.sampling (module) DGLDataset (class in dgl.data) DGLGraph (class in dgl) DistDataLoader (class in dgl.distributed.dist_dataloader) DistEmbedding (class in dgl.distributed) DistGraph (class in dgl.distributed) DistTensor (class in dgl.distributed) DotGatConv (class in dgl.nn.pytorch.conv) download() (dgl.data.DGLDataset method) (in module dgl.data.utils) dst() (dgl.udf.EdgeBatch property) dstdata() (dgl.DGLGraph property) dstnodes() (dgl.DGLGraph property) dsttypes() (dgl.DGLGraph property) dtype() (dgl.distributed.DistTensor property)

E

e_add_u() (in module dgl.function) (in module dgl.ops) e_add_v() (in module dgl.function) (in module dgl.ops) e_div_u() (in module dgl.function) (in module dgl.ops) e_div_v() (in module dgl.function) (in module dgl.ops) e_dot_u() (in module dgl.function) (in module dgl.ops) e_dot_v() (in module dgl.function) (in module dgl.ops) e_mul_u() (in module dgl.function) (in module dgl.ops) e_mul_v() (in module dgl.function) (in module dgl.ops) e_sub_u() (in module dgl.function) (in module dgl.ops) e_sub_v() (in module dgl.function) (in module dgl.ops) edata() (dgl.DGLGraph property) (dgl.distributed.DistGraph property) edge_attr_schemes() (dgl.DGLGraph method) (dgl.distributed.DistGraph method)

edge_ids() (dgl.DGLGraph method) edge_softmax() (in module dgl.nn.functional) edge_subgraph() (dgl.DGLGraph method) (in module dgl) edge_type_subgraph() (dgl.DGLGraph method) (in module dgl) EdgeCollator (class in dgl.dataloading) EdgeConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) EdgeDataLoader (class in dgl.dataloading.pytorch) edges() (dgl.DGLGraph property) (dgl.distributed.DistGraph property) (dgl.udf.EdgeBatch method) EdgeWeightNorm (class in dgl.nn.pytorch.conv) eid2localeid() (dgl.distributed.graph_partition_book.GraphPartitionBook method) eid2partid() (dgl.distributed.graph_partition_book.GraphPartitionBook method) emb_tensor() (dgl.nn.pytorch.sparse_emb.NodeEmbedding property) embedding_dim() (dgl.nn.pytorch.sparse_emb.NodeEmbedding property) end_time (dgl.data.GDELTDataset attribute) etypes() (dgl.DGLGraph property) (dgl.distributed.DistGraph property) extract_archive() (in module dgl.data.utils)

F

FakeNewsDataset (class in dgl.data) farthest_point_sampler (class in dgl.geometry) FB15k237Dataset (class in dgl.data) FB15kDataset (class in dgl.data) feature (dgl.data.FakeNewsDataset attribute) feature_name (dgl.data.FakeNewsDataset attribute) features (dgl.data.CiteseerGraphDataset attribute) (dgl.data.CoraGraphDataset attribute) (dgl.data.PPIDataset attribute) (dgl.data.PubmedGraphDataset attribute) (dgl.data.RedditDataset attribute) filter_edges() (dgl.DGLGraph method) filter_nodes() (dgl.DGLGraph method) find_edges() (dgl.DGLGraph method) (dgl.distributed.DistGraph method) (in module dgl.distributed.graph_services) formats() (dgl.DGLGraph method) forward() (dgl.nn.mxnet.conv.AGNNConv method) (dgl.nn.mxnet.HeteroGraphConv method) (dgl.nn.mxnet.conv.APPNPConv method) (dgl.nn.mxnet.conv.ChebConv method) (dgl.nn.mxnet.conv.DenseChebConv method) (dgl.nn.mxnet.conv.DenseGraphConv method) (dgl.nn.mxnet.conv.DenseSAGEConv method) (dgl.nn.mxnet.conv.EdgeConv method) (dgl.nn.mxnet.conv.GATConv method) (dgl.nn.mxnet.conv.GINConv method) (dgl.nn.mxnet.conv.GMMConv method) (dgl.nn.mxnet.conv.GatedGraphConv method) (dgl.nn.mxnet.conv.GraphConv method) (dgl.nn.mxnet.conv.NNConv method) (dgl.nn.mxnet.conv.RelGraphConv method) (dgl.nn.mxnet.conv.SAGEConv method) (dgl.nn.mxnet.conv.SGConv method) (dgl.nn.mxnet.conv.TAGConv method) (dgl.nn.mxnet.glob.AvgPooling method) (dgl.nn.mxnet.glob.GlobalAttentionPooling method) (dgl.nn.mxnet.glob.MaxPooling method) (dgl.nn.mxnet.glob.Set2Set method) (dgl.nn.mxnet.glob.SortPooling method) (dgl.nn.mxnet.glob.SumPooling method) (dgl.nn.mxnet.utils.Sequential method) (dgl.nn.pytorch.HeteroGraphConv method) (dgl.nn.pytorch.conv.AGNNConv method) (dgl.nn.pytorch.conv.APPNPConv method) (dgl.nn.pytorch.conv.AtomicConv method) (dgl.nn.pytorch.conv.CFConv method) (dgl.nn.pytorch.conv.ChebConv method) (dgl.nn.pytorch.conv.DenseChebConv method) (dgl.nn.pytorch.conv.DenseGraphConv method) (dgl.nn.pytorch.conv.DenseSAGEConv method) (dgl.nn.pytorch.conv.DotGatConv method) (dgl.nn.pytorch.conv.EdgeConv method) (dgl.nn.pytorch.conv.EdgeWeightNorm method) (dgl.nn.pytorch.conv.GATConv method) (dgl.nn.pytorch.conv.GCN2Conv method) (dgl.nn.pytorch.conv.GINConv method) (dgl.nn.pytorch.conv.GMMConv method) (dgl.nn.pytorch.conv.GatedGraphConv method) (dgl.nn.pytorch.conv.GraphConv method) (dgl.nn.pytorch.conv.NNConv method) (dgl.nn.pytorch.conv.RelGraphConv method) (dgl.nn.pytorch.conv.SAGEConv method) (dgl.nn.pytorch.conv.SGConv method) (dgl.nn.pytorch.conv.TAGConv method) (dgl.nn.pytorch.conv.TWIRLSConv method) (dgl.nn.pytorch.conv.TWIRLSUnfoldingAndAttention method) (dgl.nn.pytorch.factory.KNNGraph method) (dgl.nn.pytorch.factory.SegmentedKNNGraph method) (dgl.nn.pytorch.glob.AvgPooling method) (dgl.nn.pytorch.glob.GlobalAttentionPooling method) (dgl.nn.pytorch.glob.MaxPooling method) (dgl.nn.pytorch.glob.Set2Set method) (dgl.nn.pytorch.glob.SetTransformerDecoder method) (dgl.nn.pytorch.glob.SetTransformerEncoder method) (dgl.nn.pytorch.glob.SortPooling method) (dgl.nn.pytorch.glob.SumPooling method) (dgl.nn.pytorch.glob.WeightAndSum method) (dgl.nn.pytorch.utils.Sequential method)

FraudAmazonDataset (class in dgl.data) FraudDataset (class in dgl.data) FraudYelpDataset (class in dgl.data) from_networkx() (in module dgl) from_scipy() (in module dgl)

G

GATConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) (class in dgl.nn.tensorflow.conv) GatedGraphConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) GCN2Conv (class in dgl.nn.pytorch.conv) GDELTDataset (class in dgl.data) get_download_dir() (in module dgl.data.utils) get_edge_partition_policy() (dgl.distributed.DistGraph method) get_etype_id() (dgl.distributed.DistGraph method) get_node_partition_policy() (dgl.distributed.DistGraph method) get_ntype_id() (dgl.distributed.DistGraph method) get_part_size() (dgl.distributed.graph_partition_book.PartitionPolicy method) get_partition_book() (dgl.distributed.DistGraph method) get_size() (dgl.distributed.graph_partition_book.PartitionPolicy method) GINConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) (class in dgl.nn.tensorflow.conv) GINDataset (class in dgl.data) GlobalAttentionPooling (class in dgl.nn.mxnet.glob) (class in dgl.nn.pytorch.glob) (class in dgl.nn.tensorflow.glob)

GMMConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) graph (dgl.data.AIFBDataset attribute) (dgl.data.AMDataset attribute) (dgl.data.BGSDataset attribute) (dgl.data.CiteseerGraphDataset attribute) (dgl.data.CoraGraphDataset attribute) (dgl.data.FraudDataset attribute) (dgl.data.MUTAGDataset attribute) (dgl.data.PubmedGraphDataset attribute) (dgl.data.RedditDataset attribute) graph() (in module dgl) GraphCollator (class in dgl.dataloading) GraphConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) (class in dgl.nn.tensorflow.conv) GraphDataLoader (class in dgl.dataloading.pytorch) GraphPartitionBook (class in dgl.distributed.graph_partition_book) graphs (dgl.data.BitcoinOTCDataset attribute) (dgl.data.FakeNewsDataset attribute) gsddmm() (in module dgl.ops) gspmm() (in module dgl.ops)

H

has_cache() (dgl.data.DGLDataset method) has_edges_between() (dgl.DGLGraph method) has_nodes() (dgl.DGLGraph method) hash (dgl.data.DGLDataset attribute)

heterograph() (in module dgl) HeteroGraphConv (class in dgl.nn.mxnet) (class in dgl.nn.pytorch) (class in dgl.nn.tensorflow)

I

ICEWS18Dataset (class in dgl.data) idtype() (dgl.DGLGraph property) (dgl.distributed.DistGraph property) in_degrees() (dgl.DGLGraph method) (dgl.distributed.DistGraph method) in_edges() (dgl.DGLGraph method) in_subgraph() (in module dgl) (in module dgl.distributed.graph_services) inc() (dgl.DGLGraph method)

incidence_matrix() (dgl.DGLGraph method) initialize() (in module dgl.distributed) int() (dgl.DGLGraph method) is_homogeneous() (dgl.DGLGraph property) is_multigraph() (dgl.DGLGraph property) is_temporal (dgl.data.BitcoinOTCDataset attribute) (dgl.data.GDELTDataset attribute) (dgl.data.ICEWS18Dataset attribute) is_unibipartite() (dgl.DGLGraph property)

K

KarateClubDataset (class in dgl.data) khop_adj() (in module dgl)

khop_graph() (in module dgl) knn_graph() (in module dgl) KNNGraph (class in dgl.nn.pytorch.factory)

L

labels (dgl.data.AIFBDataset attribute) (dgl.data.AMDataset attribute) (dgl.data.BGSDataset attribute) (dgl.data.CiteseerGraphDataset attribute) (dgl.data.CoraGraphDataset attribute) (dgl.data.FakeNewsDataset attribute) (dgl.data.MUTAGDataset attribute) (dgl.data.PPIDataset attribute) (dgl.data.PubmedGraphDataset attribute) (dgl.data.RedditDataset attribute) laplacian_lambda_max() (in module dgl) LegacyTUDataset (class in dgl.data)

lin (dgl.nn.mxnet.conv.TAGConv attribute) (dgl.nn.pytorch.conv.TAGConv attribute) line_graph() (dgl.DGLGraph method) (in module dgl) load() (dgl.data.DGLDataset method) load_graphs() (in module dgl) load_info() (in module dgl.data.utils) load_labels() (in module dgl.data.utils) load_partition() (in module dgl.distributed.partition) load_partition_book() (in module dgl.distributed.partition) local_partition() (dgl.distributed.DistGraph property) local_scope() (dgl.DGLGraph method) long() (dgl.DGLGraph method)

M

mailbox() (dgl.udf.NodeBatch property) map_to_homo_eid() (dgl.distributed.graph_partition_book.GraphPartitionBook method) map_to_homo_nid() (dgl.distributed.graph_partition_book.GraphPartitionBook method) map_to_per_etype() (dgl.distributed.graph_partition_book.GraphPartitionBook method) map_to_per_ntype() (dgl.distributed.graph_partition_book.GraphPartitionBook method) max() (in module dgl.function) max_edges() (in module dgl) max_nodes() (in module dgl) max_num_node (dgl.data.LegacyTUDataset attribute) (dgl.data.TUDataset attribute) max_num_v (dgl.data.MiniGCDataset attribute) MaxPooling (class in dgl.nn.mxnet.glob) (class in dgl.nn.pytorch.glob) (class in dgl.nn.tensorflow.glob) mean() (in module dgl.function) mean_edges() (in module dgl)

mean_nodes() (in module dgl) metadata() (dgl.distributed.graph_partition_book.GraphPartitionBook method) metagraph() (dgl.DGLGraph method) metapath_reachable_graph() (in module dgl) metis_partition() (in module dgl) metis_partition_assignment() (in module dgl) min() (in module dgl.function) min_num_v (dgl.data.MiniGCDataset attribute) MiniGCDataset (class in dgl.data) mods (dgl.nn.mxnet.HeteroGraphConv attribute) (dgl.nn.pytorch.HeteroGraphConv attribute) (dgl.nn.tensorflow.HeteroGraphConv attribute) multi_update_all() (dgl.DGLGraph method) MultiLayerFullNeighborSampler (class in dgl.dataloading.neighbor) MultiLayerNeighborSampler (class in dgl.dataloading.neighbor) MUTAGDataset (class in dgl.data)

N

name (dgl.data.DGLDataset attribute) (dgl.data.FakeNewsDataset attribute) name() (dgl.distributed.DistTensor property) (dgl.nn.pytorch.sparse_emb.NodeEmbedding property) ndata() (dgl.DGLGraph property) (dgl.distributed.DistGraph property) neighbor_matching (class in dgl.geometry) nid2localnid() (dgl.distributed.graph_partition_book.GraphPartitionBook method) nid2partid() (dgl.distributed.graph_partition_book.GraphPartitionBook method) NNConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) node2vec_random_walk() (in module dgl.sampling) node_attr_schemes() (dgl.DGLGraph method) (dgl.distributed.DistGraph method) node_subgraph() (in module dgl) node_type_subgraph() (dgl.DGLGraph method) (in module dgl) NodeCollator (class in dgl.dataloading) NodeDataLoader (class in dgl.dataloading.pytorch) NodeEmbedding (class in dgl.nn.pytorch.sparse_emb) nodes() (dgl.DGLGraph property) (dgl.distributed.DistGraph property) (dgl.udf.NodeBatch method) ntypes() (dgl.DGLGraph property) (dgl.distributed.DistGraph property) num_classes (dgl.data.AIFBDataset attribute) (dgl.data.AMDataset attribute) (dgl.data.AmazonCoBuyComputerDataset attribute) (dgl.data.AmazonCoBuyPhotoDataset attribute) (dgl.data.BGSDataset attribute) (dgl.data.CiteseerGraphDataset attribute) (dgl.data.CoauthorCSDataset attribute) (dgl.data.CoauthorPhysicsDataset attribute) (dgl.data.CoraFullDataset attribute) (dgl.data.CoraGraphDataset attribute) (dgl.data.FakeNewsDataset attribute) (dgl.data.FraudDataset attribute) (dgl.data.KarateClubDataset attribute) (dgl.data.MUTAGDataset attribute) (dgl.data.MiniGCDataset attribute) (dgl.data.PubmedGraphDataset attribute) (dgl.data.RedditDataset attribute) (dgl.data.SSTDataset attribute)

num_dst_nodes() (dgl.DGLGraph method) num_edges() (dgl.DGLGraph method) (dgl.distributed.DistGraph method) num_embeddings() (dgl.nn.pytorch.sparse_emb.NodeEmbedding property) num_graphs (dgl.data.FakeNewsDataset attribute) (dgl.data.MiniGCDataset attribute) num_labels (dgl.data.LegacyTUDataset attribute) (dgl.data.PPIDataset attribute) (dgl.data.QM7bDataset attribute) (dgl.data.QM9Dataset attribute) (dgl.data.QM9EdgeDataset attribute) (dgl.data.RedditDataset attribute) (dgl.data.TUDataset attribute) num_nodes (dgl.data.FB15k237Dataset attribute) (dgl.data.FB15kDataset attribute) (dgl.data.WN18Dataset attribute) num_nodes() (dgl.DGLGraph method) (dgl.distributed.DistGraph method) num_partitions() (dgl.distributed.graph_partition_book.GraphPartitionBook method) num_rels (dgl.data.FB15k237Dataset attribute) (dgl.data.FB15kDataset attribute) (dgl.data.WN18Dataset attribute) num_src_nodes() (dgl.DGLGraph method) num_vocabs (dgl.data.SSTDataset attribute) number_of_dst_nodes() (dgl.DGLGraph method) number_of_edges() (dgl.DGLGraph method) (dgl.distributed.DistGraph method) number_of_nodes() (dgl.DGLGraph method) (dgl.distributed.DistGraph method) number_of_src_nodes() (dgl.DGLGraph method)

O

optm_state() (dgl.nn.pytorch.sparse_emb.NodeEmbedding property) out_degrees() (dgl.DGLGraph method) (dgl.distributed.DistGraph method)

out_edges() (dgl.DGLGraph method) out_subgraph() (in module dgl)

P

pack_traces() (in module dgl.sampling) part_id() (dgl.distributed.graph_partition_book.PartitionPolicy property) part_policy() (dgl.distributed.DistTensor property) partid() (dgl.distributed.graph_partition_book.GraphPartitionBook property) partid2eids() (dgl.distributed.graph_partition_book.GraphPartitionBook method) partid2nids() (dgl.distributed.graph_partition_book.GraphPartitionBook method) partition() (dgl.nn.pytorch.sparse_emb.NodeEmbedding property) partition_book() (dgl.distributed.graph_partition_book.PartitionPolicy property) partition_graph() (in module dgl.distributed.partition) partition_graph_with_halo() (in module dgl) PartitionPolicy (class in dgl.distributed.graph_partition_book) PinSAGESampler (class in dgl.sampling) policy_str() (dgl.distributed.graph_partition_book.PartitionPolicy property) PPIDataset (class in dgl.data) predecessors() (dgl.DGLGraph method)

predict_category (dgl.data.AIFBDataset attribute) (dgl.data.AMDataset attribute) (dgl.data.BGSDataset attribute) (dgl.data.MUTAGDataset attribute) pretrained_emb (dgl.data.SSTDataset attribute) process() (dgl.data.DGLDataset method) prop_edges() (dgl.DGLGraph method) (in module dgl) prop_edges_dfs() (in module dgl) prop_nodes() (dgl.DGLGraph method) (in module dgl) prop_nodes_bfs() (in module dgl) prop_nodes_topo() (in module dgl) PubmedGraphDataset (class in dgl.data) pull() (dgl.DGLGraph method) push() (dgl.DGLGraph method)

Q

QM7bDataset (class in dgl.data)

QM9Dataset (class in dgl.data) QM9EdgeDataset (class in dgl.data)

R

rand_bipartite() (in module dgl) rand_graph() (in module dgl) random_walk() (in module dgl.sampling) rank() (dgl.distributed.DistGraph method) (dgl.nn.pytorch.sparse_emb.NodeEmbedding property) raw_dir (dgl.data.DGLDataset attribute) raw_path (dgl.data.DGLDataset attribute) readout_edges() (in module dgl) readout_nodes() (in module dgl) RedditDataset (class in dgl.data) RelGraphConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) (class in dgl.nn.tensorflow.conv)

remove_edges() (dgl.DGLGraph method) (in module dgl) remove_nodes() (dgl.DGLGraph method) (in module dgl) remove_self_loop() (dgl.DGLGraph method) (in module dgl) reorder_graph() (dgl.DGLGraph method) (in module dgl) reset_parameters() (dgl.nn.pytorch.conv.GraphConv method) reset_trace() (dgl.nn.pytorch.sparse_emb.NodeEmbedding method) reverse() (dgl.DGLGraph method) (in module dgl)

S

SAGEConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) (class in dgl.nn.tensorflow.conv) sample_blocks() (dgl.dataloading.neighbor.BlockSampler method) sample_frontier() (dgl.dataloading.neighbor.BlockSampler method) (dgl.dataloading.neighbor.MultiLayerNeighborSampler method) sample_neighbors() (in module dgl.distributed.graph_services) (in module dgl.sampling) sample_neighbors_biased() (in module dgl.sampling) save() (dgl.data.DGLDataset method) save_dir (dgl.data.DGLDataset attribute) save_graphs() (in module dgl) save_info() (in module dgl.data.utils) save_path (dgl.data.DGLDataset attribute) SBMMixtureDataset (class in dgl.data) seed (dgl.data.FraudDataset attribute) seed() (in module dgl) segment_reduce() (in module dgl.ops) segmented_knn_graph() (in module dgl) SegmentedKNNGraph (class in dgl.nn.pytorch.factory) select_topk() (in module dgl.sampling) send_and_recv() (dgl.DGLGraph method) Sequential (class in dgl.nn.mxnet.utils) (class in dgl.nn.pytorch.utils) Set2Set (class in dgl.nn.mxnet.glob) (class in dgl.nn.pytorch.glob) set_batch_num_edges() (dgl.DGLGraph method) set_batch_num_nodes() (dgl.DGLGraph method) set_optm_state() (dgl.nn.pytorch.sparse_emb.NodeEmbedding method) SetTransformerDecoder (class in dgl.nn.pytorch.glob) SetTransformerEncoder (class in dgl.nn.pytorch.glob) SGConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) (class in dgl.nn.tensorflow.conv)

shape() (dgl.distributed.DistTensor property) shared_memory() (dgl.distributed.graph_partition_book.GraphPartitionBook method) slice_batch() (in module dgl) softmax_edges() (in module dgl) softmax_nodes() (in module dgl) sort_csc_by_tag() (in module dgl) sort_csr_by_tag() (in module dgl) SortPooling (class in dgl.nn.mxnet.glob) (class in dgl.nn.pytorch.glob) (class in dgl.nn.tensorflow.glob) SparseAdagrad (class in dgl.distributed.optim.pytorch) (class in dgl.optim.pytorch) SparseAdam (class in dgl.distributed.optim.pytorch) (class in dgl.optim.pytorch) split_dataset() (in module dgl.data.utils) src() (dgl.udf.EdgeBatch property) src_mul_edge() (in module dgl.function) srcdata() (dgl.DGLGraph property) srcnodes() (dgl.DGLGraph property) srctypes() (dgl.DGLGraph property) SSTDataset (class in dgl.data) start_time (dgl.data.GDELTDataset attribute) step() (dgl.distributed.optim.pytorch.SparseAdagrad method) (dgl.distributed.optim.pytorch.SparseAdam method) store() (dgl.nn.pytorch.sparse_emb.NodeEmbedding property) subgraph() (dgl.DGLGraph method) Subset (class in dgl.data.utils) successors() (dgl.DGLGraph method) sum() (in module dgl.function) sum_edges() (in module dgl) sum_nodes() (in module dgl) SumPooling (class in dgl.nn.mxnet.glob) (class in dgl.nn.pytorch.glob) (class in dgl.nn.tensorflow.glob)

T

TAGConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) test (dgl.data.FB15k237Dataset attribute) (dgl.data.FB15kDataset attribute) (dgl.data.WN18Dataset attribute) test_idx (dgl.data.AIFBDataset attribute) (dgl.data.AMDataset attribute) (dgl.data.BGSDataset attribute) (dgl.data.MUTAGDataset attribute) test_mask (dgl.data.CiteseerGraphDataset attribute) (dgl.data.CoraGraphDataset attribute) (dgl.data.FakeNewsDataset attribute) (dgl.data.PubmedGraphDataset attribute) (dgl.data.RedditDataset attribute) to() (dgl.DGLGraph method) to_bidirected() (in module dgl) to_block() (in module dgl) to_canonical_etype() (dgl.DGLGraph method) to_heterogeneous() (in module dgl) to_homogeneous() (in module dgl) to_local() (dgl.distributed.graph_partition_book.PartitionPolicy method) to_networkx() (in module dgl) to_partid() (dgl.distributed.graph_partition_book.PartitionPolicy method)

to_simple() (dgl.DGLGraph method) (in module dgl) topk_edges() (in module dgl) topk_nodes() (in module dgl) topological_nodes_generator() (in module dgl) trace() (dgl.nn.pytorch.sparse_emb.NodeEmbedding property) train (dgl.data.FB15k237Dataset attribute) (dgl.data.FB15kDataset attribute) (dgl.data.WN18Dataset attribute) train_idx (dgl.data.AIFBDataset attribute) (dgl.data.AMDataset attribute) (dgl.data.BGSDataset attribute) (dgl.data.MUTAGDataset attribute) train_mask (dgl.data.CiteseerGraphDataset attribute) (dgl.data.CoraGraphDataset attribute) (dgl.data.FakeNewsDataset attribute) (dgl.data.PubmedGraphDataset attribute) (dgl.data.RedditDataset attribute) train_size (dgl.data.FraudDataset attribute) trees (dgl.data.SSTDataset attribute) TUDataset (class in dgl.data) TWIRLSConv (class in dgl.nn.pytorch.conv) TWIRLSUnfoldingAndAttention (class in dgl.nn.pytorch.conv)

U

u_add_e() (in module dgl.function) (in module dgl.ops) u_add_e_max() (in module dgl.ops) u_add_e_mean() (in module dgl.ops) u_add_e_min() (in module dgl.ops) u_add_e_sum() (in module dgl.ops) u_add_v() (in module dgl.function) (in module dgl.ops) u_div_e() (in module dgl.function) (in module dgl.ops) u_div_e_max() (in module dgl.ops) u_div_e_mean() (in module dgl.ops) u_div_e_min() (in module dgl.ops) u_div_e_sum() (in module dgl.ops) u_div_v() (in module dgl.function) (in module dgl.ops) u_dot_e() (in module dgl.function) (in module dgl.ops) u_dot_v() (in module dgl.function) (in module dgl.ops)

u_mul_e() (in module dgl.function) (in module dgl.ops) u_mul_e_max() (in module dgl.ops) u_mul_e_mean() (in module dgl.ops) u_mul_e_min() (in module dgl.ops) u_mul_e_sum() (in module dgl.ops) u_mul_v() (in module dgl.function) (in module dgl.ops) u_sub_e() (in module dgl.function) (in module dgl.ops) u_sub_e_max() (in module dgl.ops) u_sub_e_mean() (in module dgl.ops) u_sub_e_min() (in module dgl.ops) u_sub_e_sum() (in module dgl.ops) u_sub_v() (in module dgl.function) (in module dgl.ops) unbatch() (in module dgl) Uniform (class in dgl.dataloading.negative_sampler) update_all() (dgl.DGLGraph method) url (dgl.data.DGLDataset attribute)

V

v_add_e() (in module dgl.function) (in module dgl.ops) v_add_u() (in module dgl.function) (in module dgl.ops) v_div_e() (in module dgl.function) (in module dgl.ops) v_div_u() (in module dgl.function) (in module dgl.ops) v_dot_e() (in module dgl.function) (in module dgl.ops) v_dot_u() (in module dgl.function) (in module dgl.ops) v_mul_e() (in module dgl.function) (in module dgl.ops) v_mul_u() (in module dgl.function) (in module dgl.ops)

v_sub_e() (in module dgl.function) (in module dgl.ops) v_sub_u() (in module dgl.function) (in module dgl.ops) val_mask (dgl.data.CiteseerGraphDataset attribute) (dgl.data.CoraGraphDataset attribute) (dgl.data.FakeNewsDataset attribute) (dgl.data.PubmedGraphDataset attribute) (dgl.data.RedditDataset attribute) val_size (dgl.data.FraudDataset attribute) valid (dgl.data.FB15k237Dataset attribute) (dgl.data.FB15kDataset attribute) (dgl.data.WN18Dataset attribute) verbose (dgl.data.DGLDataset attribute) vocab (dgl.data.SSTDataset attribute) vocab_size (dgl.data.SSTDataset attribute)

W

weight (dgl.nn.mxnet.conv.GraphConv attribute) (dgl.nn.pytorch.conv.GraphConv attribute) (dgl.nn.tensorflow.conv.GraphConv attribute)

weight() (dgl.nn.pytorch.sparse_emb.NodeEmbedding property) WeightAndSum (class in dgl.nn.pytorch.glob) WN18Dataset (class in dgl.data) world_size() (dgl.nn.pytorch.sparse_emb.NodeEmbedding property)