Index

_

__getitem__() (dgl.data.ActorDataset method) (dgl.data.AIFBDataset method) (dgl.data.AmazonCoBuyComputerDataset method) (dgl.data.AmazonCoBuyPhotoDataset method) (dgl.data.AmazonRatingsDataset method) (dgl.data.AMDataset method) (dgl.data.AsGraphPredDataset method) (dgl.data.AsLinkPredDataset method) (dgl.data.AsNodePredDataset method) (dgl.data.BA2MotifDataset method) (dgl.data.BACommunityDataset method) (dgl.data.BAShapeDataset method) (dgl.data.BGSDataset method) (dgl.data.BitcoinOTCDataset method) (dgl.data.ChameleonDataset method) (dgl.data.CIFAR10SuperPixelDataset method) (dgl.data.CiteseerGraphDataset method) (dgl.data.CLUSTERDataset method) (dgl.data.CoauthorCSDataset method) (dgl.data.CoauthorPhysicsDataset method) (dgl.data.CoraFullDataset method) (dgl.data.CoraGraphDataset method) (dgl.data.CornellDataset method) (dgl.data.CSVDataset method) (dgl.data.DGLDataset method) (dgl.data.FakeNewsDataset method) (dgl.data.FB15k237Dataset method) (dgl.data.FB15kDataset method) (dgl.data.FlickrDataset 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.MinesweeperDataset method) (dgl.data.MiniGCDataset method) (dgl.data.MNISTSuperPixelDataset method) (dgl.data.MovieLensDataset method) (dgl.data.MUTAGDataset method) (dgl.data.PATTERNDataset method) (dgl.data.PPIDataset method) (dgl.data.PubmedGraphDataset method) (dgl.data.QM7bDataset method) (dgl.data.QM9Dataset method) (dgl.data.QM9EdgeDataset method) (dgl.data.QuestionsDataset method) (dgl.data.RedditDataset method) (dgl.data.RomanEmpireDataset method) (dgl.data.SBMMixtureDataset method) (dgl.data.SquirrelDataset method) (dgl.data.SSTDataset method) (dgl.data.TexasDataset method) (dgl.data.TolokersDataset method) (dgl.data.TreeCycleDataset method) (dgl.data.TreeGridDataset method) (dgl.data.TUDataset method) (dgl.data.utils.Subset method) (dgl.data.WikiCSDataset method) (dgl.data.WisconsinDataset method) (dgl.data.WN18Dataset method) (dgl.data.YelpDataset method) (dgl.data.ZINCDataset method) (dgl.DGLGraph method)

__init__() (dgl.dataloading.BlockSampler method) (dgl.sampling.PinSAGESampler method) __len__() (dgl.data.ActorDataset method) (dgl.data.AIFBDataset method) (dgl.data.AmazonCoBuyComputerDataset method) (dgl.data.AmazonCoBuyPhotoDataset method) (dgl.data.AmazonRatingsDataset method) (dgl.data.AMDataset method) (dgl.data.AsGraphPredDataset method) (dgl.data.AsLinkPredDataset method) (dgl.data.AsNodePredDataset method) (dgl.data.BA2MotifDataset method) (dgl.data.BACommunityDataset method) (dgl.data.BAShapeDataset method) (dgl.data.BGSDataset method) (dgl.data.BitcoinOTCDataset method) (dgl.data.ChameleonDataset method) (dgl.data.CIFAR10SuperPixelDataset method) (dgl.data.CiteseerGraphDataset method) (dgl.data.CLUSTERDataset method) (dgl.data.CoauthorCSDataset method) (dgl.data.CoauthorPhysicsDataset method) (dgl.data.CoraFullDataset method) (dgl.data.CoraGraphDataset method) (dgl.data.CornellDataset method) (dgl.data.CSVDataset method) (dgl.data.DGLDataset method) (dgl.data.FakeNewsDataset method) (dgl.data.FB15k237Dataset method) (dgl.data.FB15kDataset method) (dgl.data.FlickrDataset 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.MinesweeperDataset method) (dgl.data.MiniGCDataset method) (dgl.data.MNISTSuperPixelDataset method) (dgl.data.MovieLensDataset method) (dgl.data.MUTAGDataset method) (dgl.data.PATTERNDataset method) (dgl.data.PPIDataset method) (dgl.data.PubmedGraphDataset method) (dgl.data.QM7bDataset method) (dgl.data.QM9Dataset method) (dgl.data.QM9EdgeDataset method) (dgl.data.QuestionsDataset method) (dgl.data.RedditDataset method) (dgl.data.RomanEmpireDataset method) (dgl.data.SBMMixtureDataset method) (dgl.data.SquirrelDataset method) (dgl.data.SSTDataset method) (dgl.data.TexasDataset method) (dgl.data.TolokersDataset method) (dgl.data.TreeCycleDataset method) (dgl.data.TreeGridDataset method) (dgl.data.TUDataset method) (dgl.data.utils.Subset method) (dgl.data.WikiCSDataset method) (dgl.data.WisconsinDataset method) (dgl.data.WN18Dataset method) (dgl.data.YelpDataset method) (dgl.data.ZINCDataset method)

A

ActorDataset (class in dgl.data) add() (in module dgl.sparse) add_edges() (dgl.DGLGraph method) (in module dgl) add_node_property_split (class in dgl.data.utils) add_nodepred_split (class in dgl.data.utils) add_nodes() (dgl.DGLGraph method) (in module dgl) add_reverse_edges() (in module dgl) (in module dgl.graphbolt) add_self_loop() (dgl.DGLGraph method) (in module dgl) AddEdge (class in dgl.transforms) AddMetaPaths (class in dgl.transforms) AddReverse (class in dgl.transforms) AddSelfLoop (class in dgl.transforms) adj() (dgl.DGLGraph method) adj_external() (dgl.DGLGraph method) adj_product_graph() (in module dgl) adj_sum_graph() (in module dgl) adj_tensors() (dgl.DGLGraph method) adjacency_matrix() (dgl.DGLGraph method) adjusted_homophily() (in module dgl)

AGNNConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) AIFBDataset (class in dgl.data) all_nodes_set (dgl.graphbolt.Dataset property) (dgl.graphbolt.LegacyDataset property) (dgl.graphbolt.OnDiskDataset property) AmazonCoBuyComputerDataset (class in dgl.data) AmazonCoBuyPhotoDataset (class in dgl.data) AmazonRatingsDataset (class in dgl.data) AMDataset (class in dgl.data) apply_each() (in module dgl) 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) as_edge_prediction_sampler() (in module dgl.dataloading) AsGraphPredDataset (class in dgl.data) AsLinkPredDataset (class in dgl.data) AsNodePredDataset (class in dgl.data) 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

BA2MotifDataset (class in dgl.data) BACommunityDataset (class in dgl.data) barrier() (dgl.distributed.DistGraph method) BaseTransform (class in dgl.transforms) BAShapeDataset (class in dgl.data) BasicFeatureStore (class in dgl.graphbolt) batch() (in module dgl) batch_num_edges() (dgl.DGLGraph method) batch_num_nodes() (dgl.DGLGraph method) batch_size (dgl.DGLGraph property) batch_size() (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.pytorch.conv.GraphConv attribute) BiasedMHA (class in dgl.nn.pytorch.gt) bipartite_from_networkx() (in module dgl) bipartite_from_scipy() (in module dgl) BitcoinOTCDataset (class in dgl.data) block_to_graph() (in module dgl) blocks (dgl.graphbolt.MiniBatch property) BlockSampler (class in dgl.dataloading) broadcast_edges() (in module dgl) broadcast_nodes() (in module dgl) bsddmm() (in module dgl.sparse) bspmm() (in module dgl.sparse) BuiltinDataset (class in dgl.graphbolt)

C

call_once_and_share() (in module dgl.multiprocessing.pytorch) canonical_etypes (dgl.DGLGraph property) (dgl.distributed.GraphPartitionBook property) CFConv (class in dgl.nn.pytorch.conv) ChameleonDataset (class in dgl.data) ChebConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) (class in dgl.nn.tensorflow.conv) check_sha1 (class in dgl.data.utils) CIFAR10SuperPixelDataset (class in dgl.data) CiteseerGraphDataset (class in dgl.data) CLUSTERDataset (class in dgl.data) ClusterGCNSampler (class in dgl.dataloading) coalesce() (dgl.sparse.SparseMatrix method) CoauthorCSDataset (class in dgl.data) CoauthorPhysicsDataset (class in dgl.data) col (dgl.sparse.SparseMatrix property) collate_fn() (dgl.data.SBMMixtureDataset method) compact_csc_format() (in module dgl.graphbolt) compact_graphs() (in module dgl) compacted_negative_dsts (dgl.graphbolt.MiniBatch attribute) compacted_negative_srcs (dgl.graphbolt.MiniBatch attribute) compacted_node_pairs (dgl.graphbolt.MiniBatch attribute) compacted_seeds (dgl.graphbolt.MiniBatch attribute) Compose (class in dgl.transforms) coo() (dgl.sparse.SparseMatrix method) 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_to_shared_memory() (dgl.graphbolt.FusedCSCSamplingGraph method) (dgl.graphbolt.SamplingGraph method) 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) CopyTo (class in dgl.graphbolt) CoraFullDataset (class in dgl.data) CoraGraphDataset (class in dgl.data) CornellDataset (class in dgl.data) cpu() (dgl.DGLGraph method) (dgl.sparse.SparseMatrix method) create_block() (in module dgl) create_formats_() (dgl.DGLGraph method) csc() (dgl.sparse.SparseMatrix method) csc_indptr (dgl.graphbolt.FusedCSCSamplingGraph property) csr() (dgl.sparse.SparseMatrix method) CSVDataset (class in dgl.data) cuda() (dgl.sparse.SparseMatrix method) CuGraphGATConv (class in dgl.nn.pytorch.conv) CuGraphRelGraphConv (class in dgl.nn.pytorch.conv) CuGraphSAGEConv (class in dgl.nn.pytorch.conv)

D

data (dgl.data.CSVDataset attribute) (dgl.udf.EdgeBatch property) (dgl.udf.NodeBatch property) DataLoader (class in dgl.dataloading) (class in dgl.graphbolt) Dataset (class in dgl.graphbolt) dataset_name (dgl.graphbolt.Dataset property) (dgl.graphbolt.LegacyDataset property) (dgl.graphbolt.OnDiskDataset property) DeepWalk (class in dgl.nn.pytorch) DegreeEncoder (class in dgl.nn.pytorch.gt) 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) (dgl.sparse.SparseMatrix property) dfs_edges_generator() (in module dgl) dfs_labeled_edges_generator() (in module dgl) dgl module dgl.data module dgl.geometry module dgl.nn.functional module

dgl.optim module dgl.sampling module dgl.transforms module DGLDataset (class in dgl.data) DGLGraph (class in dgl) DGNConv (class in dgl.nn.pytorch.conv) diag() (in module dgl.sparse) DistDataLoader (class in dgl.distributed) DistEdgeDataLoader (class in dgl.dataloading) DistEmbedding (class in dgl.distributed) DistGraph (class in dgl.distributed) DistNodeDataLoader (class in dgl.dataloading) DistributedItemSampler (class in dgl.graphbolt) DistTensor (class in dgl.distributed) div() (in module dgl.sparse) DotGatConv (class in dgl.nn.pytorch.conv) double() (dgl.sparse.SparseMatrix method) double_radius_node_labeling() (in module dgl) download (class in dgl.data.utils) DropEdge (class in dgl.transforms) DropNode (class in dgl.transforms) dst (dgl.udf.EdgeBatch property) dstdata (dgl.DGLGraph property) dstnodes (dgl.DGLGraph property) dsttypes (dgl.DGLGraph property) dtype (dgl.distributed.DistTensor property) (dgl.sparse.SparseMatrix 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_attributes (dgl.graphbolt.FusedCSCSamplingGraph property) edge_feat_size (dgl.data.AsGraphPredDataset attribute) edge_features (dgl.graphbolt.MiniBatch attribute) edge_homophily() (in module dgl) edge_ids() (dgl.DGLGraph method) (dgl.graphbolt.MiniBatch method) edge_label_informativeness() (in module dgl) edge_softmax() (in module dgl.nn.functional) edge_split() (in module dgl.distributed) edge_subgraph() (dgl.DGLGraph method) (in module dgl)

edge_type_subgraph() (dgl.DGLGraph method) (in module dgl) edge_type_to_id (dgl.graphbolt.FusedCSCSamplingGraph property) EdgeConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) EdgeGATConv (class in dgl.nn.pytorch.conv) EdgePredictor (class in dgl.nn.pytorch.link) edges (dgl.DGLGraph property) (dgl.distributed.DistGraph property) edges() (dgl.udf.EdgeBatch method) EdgeWeightNorm (class in dgl.nn.pytorch.conv) EGATConv (class in dgl.nn.pytorch.conv) EGNNConv (class in dgl.nn.pytorch.conv) EGTLayer (class in dgl.nn.pytorch.gt) eid2localeid() (dgl.distributed.GraphPartitionBook method) eid2partid() (dgl.distributed.GraphPartitionBook method) end_time (dgl.data.GDELTDataset attribute) etype_str_to_tuple() (in module dgl.graphbolt) etype_tuple_to_str() (in module dgl.graphbolt) etypes (dgl.DGLGraph property) (dgl.distributed.DistGraph property) exclude_edges() (dgl.graphbolt.SampledSubgraph method) exclude_seed_edges() (in module dgl.graphbolt) expand_indptr() (in module dgl.graphbolt) explain_graph() (dgl.nn.pytorch.explain.GNNExplainer method) (dgl.nn.pytorch.explain.HeteroGNNExplainer method) (dgl.nn.pytorch.explain.HeteroPGExplainer method) (dgl.nn.pytorch.explain.HeteroSubgraphX method) (dgl.nn.pytorch.explain.PGExplainer method) (dgl.nn.pytorch.explain.SubgraphX method) explain_node() (dgl.nn.pytorch.explain.GNNExplainer method) (dgl.nn.pytorch.explain.HeteroGNNExplainer method) (dgl.nn.pytorch.explain.HeteroPGExplainer method) (dgl.nn.pytorch.explain.PGExplainer method) extract_archive (class in 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) feat_size (dgl.data.AsLinkPredDataset attribute) FeatMask (class in dgl.transforms) Feature (class in dgl.graphbolt) feature (dgl.data.FakeNewsDataset attribute) (dgl.graphbolt.Dataset property) (dgl.graphbolt.LegacyDataset property) (dgl.graphbolt.OnDiskDataset property) feature_name (dgl.data.FakeNewsDataset attribute) FeatureFetcher (class in dgl.graphbolt) features (dgl.data.PPIDataset attribute) FeatureStore (class in dgl.graphbolt) filter_edges() (dgl.DGLGraph method) filter_nodes() (dgl.DGLGraph method) find_edges() (dgl.DGLGraph method) (dgl.distributed.DistGraph method) (in module dgl.distributed) FlickrDataset (class in dgl.data) float() (dgl.sparse.SparseMatrix method) formats() (dgl.DGLGraph method) forward() (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.CuGraphGATConv method) (dgl.nn.pytorch.conv.CuGraphRelGraphConv method) (dgl.nn.pytorch.conv.CuGraphSAGEConv method) (dgl.nn.pytorch.conv.DenseChebConv method) (dgl.nn.pytorch.conv.DenseGraphConv method) (dgl.nn.pytorch.conv.DenseSAGEConv method) (dgl.nn.pytorch.conv.DGNConv method) (dgl.nn.pytorch.conv.DotGatConv method) (dgl.nn.pytorch.conv.EdgeConv method) (dgl.nn.pytorch.conv.EdgeGATConv method) (dgl.nn.pytorch.conv.EdgeWeightNorm method) (dgl.nn.pytorch.conv.EGATConv method) (dgl.nn.pytorch.conv.EGNNConv method) (dgl.nn.pytorch.conv.GATConv method) (dgl.nn.pytorch.conv.GatedGCNConv method) (dgl.nn.pytorch.conv.GatedGraphConv method) (dgl.nn.pytorch.conv.GATv2Conv method) (dgl.nn.pytorch.conv.GCN2Conv method) (dgl.nn.pytorch.conv.GINConv method) (dgl.nn.pytorch.conv.GINEConv method) (dgl.nn.pytorch.conv.GMMConv method) (dgl.nn.pytorch.conv.GraphConv method) (dgl.nn.pytorch.conv.GroupRevRes method) (dgl.nn.pytorch.conv.HGTConv method) (dgl.nn.pytorch.conv.NNConv method) (dgl.nn.pytorch.conv.PNAConv 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.DeepWalk method) (dgl.nn.pytorch.explain.GNNExplainer method) (dgl.nn.pytorch.explain.HeteroGNNExplainer method) (dgl.nn.pytorch.explain.HeteroPGExplainer method) (dgl.nn.pytorch.explain.HeteroSubgraphX method) (dgl.nn.pytorch.explain.PGExplainer method) (dgl.nn.pytorch.explain.SubgraphX method) (dgl.nn.pytorch.factory.KNNGraph method) (dgl.nn.pytorch.factory.RadiusGraph 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.gt.BiasedMHA method) (dgl.nn.pytorch.gt.DegreeEncoder method) (dgl.nn.pytorch.gt.EGTLayer method) (dgl.nn.pytorch.gt.GraphormerLayer method) (dgl.nn.pytorch.gt.LapPosEncoder method) (dgl.nn.pytorch.gt.PathEncoder method) (dgl.nn.pytorch.gt.SpatialEncoder method) (dgl.nn.pytorch.gt.SpatialEncoder3d method) (dgl.nn.pytorch.HeteroEmbedding method) (dgl.nn.pytorch.HeteroGraphConv method) (dgl.nn.pytorch.HeteroLinear method) (dgl.nn.pytorch.link.EdgePredictor method) (dgl.nn.pytorch.link.TransE method) (dgl.nn.pytorch.link.TransR method) (dgl.nn.pytorch.MetaPath2Vec method) (dgl.nn.pytorch.TypedLinear method) (dgl.nn.pytorch.utils.JumpingKnowledge method) (dgl.nn.pytorch.utils.LabelPropagation method) (dgl.nn.pytorch.utils.Sequential method) (dgl.nn.pytorch.utils.WeightBasis method)

FraudAmazonDataset (class in dgl.data) FraudDataset (class in dgl.data) FraudYelpDataset (class in dgl.data) from_coo() (in module dgl.sparse) from_csc() (in module dgl.sparse) from_csr() (in module dgl.sparse) from_cugraph() (in module dgl) from_dglgraph() (in module dgl.graphbolt) from_networkx() (in module dgl) from_scipy() (in module dgl) fused_csc_sampling_graph() (in module dgl.graphbolt) FusedCSCSamplingGraph (class in dgl.graphbolt)

G

GATConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) (class in dgl.nn.tensorflow.conv) GatedGCNConv (class in dgl.nn.pytorch.conv) GatedGraphConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) gather_mm() (in module dgl.ops) GATv2Conv (class in dgl.nn.pytorch.conv) GCN2Conv (class in dgl.nn.pytorch.conv) GCNNorm (class in dgl.transforms) GDC (class in dgl.transforms) GDELTDataset (class in dgl.data) get_download_dir (class in 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.PartitionPolicy method) get_partition_book() (dgl.distributed.DistGraph method) get_size() (dgl.distributed.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) GINEConv (class in dgl.nn.pytorch.conv) global_uniform_negative_sampling() (in module dgl.sampling)

GlobalAttentionPooling (class in dgl.nn.mxnet.glob) (class in dgl.nn.pytorch.glob) (class in dgl.nn.tensorflow.glob) GlobalUniform (class in dgl.dataloading.negative_sampler) GMMConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) GNNExplainer (class in dgl.nn.pytorch.explain) GPUCachedFeature (class in dgl.graphbolt) graph (dgl.data.FraudDataset attribute) (dgl.data.MUTAGDataset attribute) (dgl.graphbolt.Dataset property) (dgl.graphbolt.LegacyDataset property) (dgl.graphbolt.OnDiskDataset property) graph() (in module dgl) GraphConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) (class in dgl.nn.tensorflow.conv) GraphDataLoader (class in dgl.dataloading) GraphormerLayer (class in dgl.nn.pytorch.gt) GraphPartitionBook (class in dgl.distributed) graphs (dgl.data.BitcoinOTCDataset attribute) (dgl.data.CSVDataset attribute) (dgl.data.FakeNewsDataset attribute) GroupRevRes (class in dgl.nn.pytorch.conv) gsddmm() (in module dgl.ops) gspmm() (in module dgl.ops)

H

has_duplicate() (dgl.sparse.SparseMatrix method) has_edges_between() (dgl.DGLGraph method) has_nodes() (dgl.DGLGraph method) hash (dgl.data.DGLDataset attribute) HeatKernel (class in dgl.transforms) HeteroEmbedding (class in dgl.nn.pytorch) HeteroGNNExplainer (class in dgl.nn.pytorch.explain)

heterograph() (in module dgl) HeteroGraphConv (class in dgl.nn.mxnet) (class in dgl.nn.pytorch) (class in dgl.nn.tensorflow.glob) HeteroLinear (class in dgl.nn.pytorch) HeteroPGExplainer (class in dgl.nn.pytorch.explain) HeteroSubgraphX (class in dgl.nn.pytorch.explain) HGTConv (class in dgl.nn.pytorch.conv)

I

ICEWS18Dataset (class in dgl.data) identity() (in module dgl.sparse) idtype (dgl.DGLGraph property) (dgl.distributed.DistGraph property) in_degrees() (dgl.DGLGraph method) (dgl.distributed.DistGraph method) in_edges() (dgl.DGLGraph method) in_subgraph() (dgl.graphbolt.FusedCSCSamplingGraph method) (in module dgl) (in module dgl.distributed) inc() (dgl.DGLGraph method) incidence_matrix() (dgl.DGLGraph method) index_select() (in module dgl.graphbolt) indexes (dgl.graphbolt.MiniBatch attribute) indices (dgl.graphbolt.FusedCSCSamplingGraph property) indices() (dgl.sparse.SparseMatrix method) initialize() (in module dgl.distributed)

input_nodes (dgl.graphbolt.MiniBatch attribute) InSubgraphSampler (class in dgl.graphbolt) int() (dgl.DGLGraph method) (dgl.sparse.SparseMatrix method) is_homogeneous (dgl.DGLGraph property) is_libxsmm_enabled() (in module dgl) is_multigraph (dgl.DGLGraph property) is_pinned() (dgl.DGLGraph method) (dgl.graphbolt.TorchBasedFeature method) (dgl.graphbolt.TorchBasedFeatureStore method) is_temporal (dgl.data.BitcoinOTCDataset attribute) (dgl.data.GDELTDataset attribute) (dgl.data.ICEWS18Dataset attribute) is_unibipartite (dgl.DGLGraph property) isin() (in module dgl.graphbolt) ItemSampler (class in dgl.graphbolt) ItemSet (class in dgl.graphbolt) ItemSetDict (class in dgl.graphbolt)

J

JumpingKnowledge (class in dgl.nn.pytorch.utils)

K

KarateClubDataset (class in dgl.data) keys() (dgl.graphbolt.BasicFeatureStore method) (dgl.graphbolt.FeatureStore method) khop_adj() (in module dgl) khop_graph() (in module dgl)

khop_in_subgraph() (in module dgl) khop_out_subgraph() (in module dgl) KHopGraph (class in dgl.transforms) knn_graph() (in module dgl) KNNGraph (class in dgl.nn.pytorch.factory)

L

LabelPropagation (class in dgl.nn.pytorch.utils) labels (dgl.data.FakeNewsDataset attribute) (dgl.data.PPIDataset attribute) (dgl.graphbolt.MiniBatch attribute) LaborSampler (class in dgl.dataloading) lap_pe() (in module dgl) laplacian_lambda_max() (in module dgl) LapPE (class in dgl.transforms) LapPosEncoder (class in dgl.nn.pytorch.gt) LayerNeighborSampler (class in dgl.graphbolt) LazyFeature (class in dgl.dataloading.base) LegacyDataset (class in dgl.graphbolt) LegacyTUDataset (class in dgl.data) lin (dgl.nn.pytorch.conv.TAGConv attribute) line_graph() (dgl.DGLGraph method) (in module dgl)

LineGraph (class in dgl.transforms) linkx_homophily() (in module dgl) load() (dgl.distributed.optim.SparseAdagrad method) (dgl.distributed.optim.SparseAdam method) (dgl.graphbolt.OnDiskDataset method) load_from_shared_memory() (in module dgl.graphbolt) load_graphs() (in module dgl) load_info (class in dgl.data.utils) load_labels (class in dgl.data.utils) load_partition() (in module dgl.distributed) load_partition_book() (in module dgl.distributed) load_partition_feats() (in module dgl.distributed) local_partition (dgl.distributed.DistGraph property) local_scope() (dgl.DGLGraph method) local_to_global_nid (dgl.nn.pytorch.MetaPath2Vec attribute) long() (dgl.DGLGraph method) (dgl.sparse.SparseMatrix method)

M

mailbox (dgl.udf.NodeBatch property) map_to_homo_eid() (dgl.distributed.GraphPartitionBook method) map_to_homo_nid() (dgl.distributed.GraphPartitionBook method) map_to_per_etype() (dgl.distributed.GraphPartitionBook method) map_to_per_ntype() (dgl.distributed.GraphPartitionBook method) mask_nodes_by_property (class in dgl.data.utils) matmul() (in module dgl.sparse) 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) merge() (in module dgl) metadata (dgl.graphbolt.Task property) metadata() (dgl.distributed.GraphPartitionBook method) (dgl.graphbolt.BasicFeatureStore method) (dgl.graphbolt.Feature method) (dgl.graphbolt.FeatureStore method) (dgl.graphbolt.TorchBasedFeature method)

metagraph() (dgl.DGLGraph method) MetaPath2Vec (class in dgl.nn.pytorch) 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) MinesweeperDataset (class in dgl.data) MiniBatch (class in dgl.graphbolt) MiniBatchTransformer (class in dgl.graphbolt) MiniGCDataset (class in dgl.data) MNISTSuperPixelDataset (class in dgl.data) mods (dgl.nn.pytorch.HeteroGraphConv attribute) module dgl dgl.data dgl.geometry dgl.nn.functional dgl.optim dgl.sampling dgl.transforms MovieLensDataset (class in dgl.data) mul() (in module dgl.sparse) multi_update_all() (dgl.DGLGraph method) MultiLayerFullNeighborSampler (class in dgl.dataloading) MUTAGDataset (class in dgl.data)

N

name (dgl.data.DGLDataset attribute) (dgl.data.FakeNewsDataset attribute) (dgl.distributed.DistTensor property) names (dgl.graphbolt.ItemSet property) (dgl.graphbolt.ItemSetDict property) ndata (dgl.DGLGraph property) (dgl.distributed.DistGraph property) neg() (dgl.sparse.SparseMatrix method) negative_dsts (dgl.graphbolt.MiniBatch attribute) negative_node_pairs (dgl.graphbolt.MiniBatch property) negative_srcs (dgl.graphbolt.MiniBatch attribute) NegativeSampler (class in dgl.graphbolt) neighbor_matching (class in dgl.geometry) NeighborSampler (class in dgl.dataloading) (class in dgl.graphbolt) nid2localnid() (dgl.distributed.GraphPartitionBook method) nid2partid() (dgl.distributed.GraphPartitionBook method) NNConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) nnz (dgl.sparse.SparseMatrix property) node2vec_random_walk() (in module dgl.sampling) node_attr_schemes() (dgl.DGLGraph method) (dgl.distributed.DistGraph method) node_attributes (dgl.graphbolt.FusedCSCSamplingGraph property) node_embed (dgl.nn.pytorch.DeepWalk attribute) (dgl.nn.pytorch.MetaPath2Vec attribute) node_feat_size (dgl.data.AsGraphPredDataset attribute) node_features (dgl.graphbolt.MiniBatch attribute) node_homophily() (in module dgl) node_ids() (dgl.graphbolt.MiniBatch method) node_label_informativeness() (in module dgl) node_pairs (dgl.graphbolt.MiniBatch attribute) node_pairs_with_labels (dgl.graphbolt.MiniBatch property) node_split() (in module dgl.distributed) node_subgraph() (in module dgl) node_type_offset (dgl.graphbolt.FusedCSCSamplingGraph property) node_type_subgraph() (dgl.DGLGraph method) (in module dgl) node_type_to_id (dgl.graphbolt.FusedCSCSamplingGraph property) NodeEmbedding (class in dgl.nn.pytorch.sparse_emb) nodes (dgl.DGLGraph property) (dgl.distributed.DistGraph property) nodes() (dgl.udf.NodeBatch method) NodeShuffle (class in dgl.transforms) norm_by_dst() (in module dgl) ntypes (dgl.DGLGraph property) (dgl.distributed.DistGraph property) num_atom_types (dgl.data.ZINCDataset attribute) num_bond_types (dgl.data.ZINCDataset attribute) num_classes (dgl.data.ActorDataset attribute) (dgl.data.AIFBDataset attribute) (dgl.data.AmazonCoBuyComputerDataset attribute) (dgl.data.AmazonCoBuyPhotoDataset attribute) (dgl.data.AmazonRatingsDataset attribute) (dgl.data.AMDataset attribute) (dgl.data.AsGraphPredDataset attribute) (dgl.data.AsNodePredDataset attribute) (dgl.data.BA2MotifDataset attribute) (dgl.data.BACommunityDataset attribute) (dgl.data.BAShapeDataset attribute) (dgl.data.BGSDataset attribute) (dgl.data.ChameleonDataset attribute) (dgl.data.CiteseerGraphDataset attribute) (dgl.data.CLUSTERDataset attribute) (dgl.data.CoauthorCSDataset attribute) (dgl.data.CoauthorPhysicsDataset attribute) (dgl.data.CoraFullDataset attribute) (dgl.data.CoraGraphDataset attribute) (dgl.data.CornellDataset attribute) (dgl.data.FakeNewsDataset attribute) (dgl.data.FlickrDataset attribute) (dgl.data.FraudDataset attribute) (dgl.data.GINDataset attribute) (dgl.data.KarateClubDataset attribute) (dgl.data.LegacyTUDataset attribute) (dgl.data.MinesweeperDataset attribute) (dgl.data.MiniGCDataset attribute) (dgl.data.MUTAGDataset attribute) (dgl.data.PATTERNDataset attribute) (dgl.data.PubmedGraphDataset attribute) (dgl.data.QuestionsDataset attribute) (dgl.data.RedditDataset attribute) (dgl.data.RomanEmpireDataset attribute) (dgl.data.SquirrelDataset attribute) (dgl.data.SSTDataset attribute) (dgl.data.TexasDataset attribute) (dgl.data.TolokersDataset attribute) (dgl.data.TreeCycleDataset attribute) (dgl.data.TreeGridDataset attribute) (dgl.data.TUDataset attribute) (dgl.data.WikiCSDataset attribute) (dgl.data.WisconsinDataset attribute) (dgl.data.YelpDataset attribute)

num_dst_nodes() (dgl.DGLGraph method) num_edges (dgl.graphbolt.FusedCSCSamplingGraph property) (dgl.graphbolt.SamplingGraph property) num_edges() (dgl.DGLGraph method) (dgl.distributed.DistGraph method) 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.TUDataset attribute) num_layers() (dgl.graphbolt.MiniBatch method) num_nodes (dgl.data.FB15k237Dataset attribute) (dgl.data.FB15kDataset attribute) (dgl.data.WN18Dataset attribute) (dgl.graphbolt.FusedCSCSamplingGraph property) (dgl.graphbolt.SamplingGraph property) num_nodes() (dgl.DGLGraph method) (dgl.distributed.DistGraph method) num_partitions() (dgl.distributed.GraphPartitionBook method) num_rels (dgl.data.FB15k237Dataset attribute) (dgl.data.FB15kDataset attribute) (dgl.data.WN18Dataset attribute) num_src_nodes() (dgl.DGLGraph method) num_tasks (dgl.data.AsGraphPredDataset attribute) (dgl.data.QM7bDataset attribute) (dgl.data.QM9Dataset attribute) (dgl.data.QM9EdgeDataset 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

OnDiskDataset (class in dgl.graphbolt) original_column_node_ids (dgl.graphbolt.SampledSubgraph property) (dgl.graphbolt.SampledSubgraphImpl attribute) original_edge_ids (dgl.graphbolt.SampledSubgraph property) (dgl.graphbolt.SampledSubgraphImpl attribute)

original_row_node_ids (dgl.graphbolt.SampledSubgraph property) (dgl.graphbolt.SampledSubgraphImpl attribute) 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.PartitionPolicy property) part_policy (dgl.distributed.DistTensor property) partid (dgl.distributed.GraphPartitionBook property) partid2eids() (dgl.distributed.GraphPartitionBook method) partid2nids() (dgl.distributed.GraphPartitionBook method) partition_book (dgl.distributed.PartitionPolicy property) partition_graph() (in module dgl.distributed) partition_graph_with_halo() (in module dgl) PartitionPolicy (class in dgl.distributed) PathEncoder (class in dgl.nn.pytorch.gt) PATTERNDataset (class in dgl.data) PerSourceUniform (class in dgl.dataloading.negative_sampler) PGExplainer (class in dgl.nn.pytorch.explain) pin_memory_() (dgl.DGLGraph method) (dgl.graphbolt.FusedCSCSamplingGraph method) (dgl.graphbolt.TorchBasedFeature method) (dgl.graphbolt.TorchBasedFeatureStore method) PinSAGESampler (class in dgl.sampling) PNAConv (class in dgl.nn.pytorch.conv)

policy_str (dgl.distributed.PartitionPolicy property) positive_node_pairs (dgl.graphbolt.MiniBatch property) power() (in module dgl.sparse) PPIDataset (class in dgl.data) PPR (class in dgl.transforms) 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) 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) QuestionsDataset (class in dgl.data)

R

radius_graph() (in module dgl) RadiusGraph (class in dgl.nn.pytorch.factory) rand_bipartite() (in module dgl) rand_graph() (in module dgl) random_walk() (in module dgl.sampling) random_walk_pe() (in module dgl) RandomWalkPE (class in dgl.transforms) rank() (dgl.distributed.DistGraph method) raw_dir (dgl.data.DGLDataset attribute) raw_path (dgl.data.DGLDataset attribute) read() (dgl.graphbolt.BasicFeatureStore method) (dgl.graphbolt.Feature method) (dgl.graphbolt.FeatureStore method) (dgl.graphbolt.GPUCachedFeature method) (dgl.graphbolt.TorchBasedFeature method) readout_edges() (in module dgl) readout_nodes() (in module dgl) RedditDataset (class in dgl.data) reduce() (dgl.sparse.SparseMatrix method) rel_emb (dgl.nn.pytorch.link.TransE attribute) (dgl.nn.pytorch.link.TransR attribute) rel_project (dgl.nn.pytorch.link.TransR attribute) 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) RemoveSelfLoop (class in dgl.transforms) reorder_graph() (dgl.DGLGraph method) (in module dgl)

reset_parameters() (dgl.nn.pytorch.conv.CuGraphGATConv method) (dgl.nn.pytorch.conv.CuGraphRelGraphConv method) (dgl.nn.pytorch.conv.CuGraphSAGEConv method) (dgl.nn.pytorch.conv.DenseChebConv method) (dgl.nn.pytorch.conv.DenseGraphConv method) (dgl.nn.pytorch.conv.DenseSAGEConv method) (dgl.nn.pytorch.conv.EdgeGATConv method) (dgl.nn.pytorch.conv.EGATConv method) (dgl.nn.pytorch.conv.GATConv method) (dgl.nn.pytorch.conv.GatedGraphConv method) (dgl.nn.pytorch.conv.GATv2Conv method) (dgl.nn.pytorch.conv.GCN2Conv method) (dgl.nn.pytorch.conv.GMMConv method) (dgl.nn.pytorch.conv.GraphConv method) (dgl.nn.pytorch.conv.NNConv method) (dgl.nn.pytorch.conv.SAGEConv method) (dgl.nn.pytorch.conv.SGConv method) (dgl.nn.pytorch.conv.TAGConv method) (dgl.nn.pytorch.DeepWalk method) (dgl.nn.pytorch.glob.Set2Set method) (dgl.nn.pytorch.gt.BiasedMHA method) (dgl.nn.pytorch.HeteroEmbedding method) (dgl.nn.pytorch.link.EdgePredictor method) (dgl.nn.pytorch.link.TransE method) (dgl.nn.pytorch.link.TransR method) (dgl.nn.pytorch.MetaPath2Vec method) (dgl.nn.pytorch.TypedLinear method) (dgl.nn.pytorch.utils.JumpingKnowledge method) reverse() (dgl.DGLGraph method) (in module dgl) RomanEmpireDataset (class in dgl.data) row (dgl.sparse.SparseMatrix property) RowFeatNormalizer (class in dgl.transforms)

S

SAGEConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) (class in dgl.nn.tensorflow.conv) SAINTSampler (class in dgl.dataloading) sample_etype_neighbors() (in module dgl.distributed) sample_labors() (in module dgl.sampling) sample_layer_neighbors() (dgl.graphbolt.FusedCSCSamplingGraph method) sample_negative_edges_uniform() (dgl.graphbolt.FusedCSCSamplingGraph method) sample_negative_edges_uniform_2() (dgl.graphbolt.FusedCSCSamplingGraph method) sample_neighbors() (dgl.graphbolt.FusedCSCSamplingGraph method) (in module dgl.distributed) (in module dgl.sampling) sample_neighbors_biased() (in module dgl.sampling) sample_subgraphs() (dgl.graphbolt.InSubgraphSampler method) (dgl.graphbolt.SubgraphSampler method) sampled_csc (dgl.graphbolt.SampledSubgraph property) (dgl.graphbolt.SampledSubgraphImpl attribute) sampled_subgraphs (dgl.graphbolt.MiniBatch attribute) SampledSubgraph (class in dgl.graphbolt) SampledSubgraphImpl (class in dgl.graphbolt) Sampler (class in dgl.dataloading) sampling_stages() (dgl.graphbolt.NeighborSampler method) (dgl.graphbolt.SubgraphSampler method) SamplingGraph (class in dgl.graphbolt) save() (dgl.distributed.optim.SparseAdagrad method) (dgl.distributed.optim.SparseAdam method) save_dir (dgl.data.DGLDataset attribute) save_graphs() (in module dgl) save_info (class in dgl.data.utils) save_path (dgl.data.DGLDataset attribute) SBMMixtureDataset (class in dgl.data) sddmm() (in module dgl.sparse) seed (dgl.data.FraudDataset attribute) seed() (in module dgl) (in module dgl.graphbolt) seed_nodes (dgl.graphbolt.MiniBatch attribute) seeds (dgl.graphbolt.MiniBatch attribute) segment_mm() (in module dgl.ops) 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_dst_lazy_features (class in dgl.dataloading.base) set_edge_features() (dgl.graphbolt.MiniBatch method) set_edge_lazy_features (class in dgl.dataloading.base) set_node_features() (dgl.graphbolt.MiniBatch method) set_node_lazy_features (class in dgl.dataloading.base) set_src_lazy_features (class in dgl.dataloading.base) 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) ShaDowKHopSampler (class in dgl.dataloading) shape (dgl.distributed.DistTensor property) (dgl.sparse.SparseMatrix property)

shared_memory() (dgl.distributed.GraphPartitionBook method) shared_tensor() (in module dgl.multiprocessing.pytorch) shortest_dist() (in module dgl) SIGNDiffusion (class in dgl.transforms) size() (dgl.graphbolt.BasicFeatureStore method) (dgl.graphbolt.Feature method) (dgl.graphbolt.FeatureStore method) (dgl.graphbolt.GPUCachedFeature method) (dgl.graphbolt.TorchBasedFeature method) slice_batch() (in module dgl) smax() (dgl.sparse.SparseMatrix method) smean() (dgl.sparse.SparseMatrix method) smin() (dgl.sparse.SparseMatrix method) softmax() (dgl.sparse.SparseMatrix method) (in module dgl.sparse) 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) sp_add_v() (in module dgl.sparse) sp_broadcast_v() (in module dgl.sparse) sp_div_v() (in module dgl.sparse) sp_mul_v() (in module dgl.sparse) sp_sub_v() (in module dgl.sparse) SparseAdagrad (class in dgl.distributed.optim) (class in dgl.optim.pytorch) SparseAdam (class in dgl.distributed.optim) (class in dgl.optim.pytorch) SparseMatrix (class in dgl.sparse) SpatialEncoder (class in dgl.nn.pytorch.gt) SpatialEncoder3d (class in dgl.nn.pytorch.gt) split_dataset (class in dgl.data.utils) spmatrix() (in module dgl.sparse) spmm() (in module dgl.sparse) spspmm() (in module dgl.sparse) SquirrelDataset (class in dgl.data) src (dgl.udf.EdgeBatch property) 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.SparseAdagrad method) (dgl.distributed.optim.SparseAdam method) sub() (in module dgl.sparse) subgraph() (dgl.DGLGraph method) SubgraphSampler (class in dgl.graphbolt) SubgraphX (class in dgl.nn.pytorch.explain) Subset (class in dgl.data.utils) successors() (dgl.DGLGraph method) sum() (dgl.sparse.SparseMatrix method) (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) svd_pe() (in module dgl) SVDPE (class in dgl.transforms)

T

T (dgl.sparse.SparseMatrix property) t() (dgl.sparse.SparseMatrix method) TAGConv (class in dgl.nn.mxnet.conv) (class in dgl.nn.pytorch.conv) Task (class in dgl.graphbolt) tasks (dgl.graphbolt.Dataset property) (dgl.graphbolt.LegacyDataset property) (dgl.graphbolt.OnDiskDataset property) temporal_sample_neighbors() (dgl.graphbolt.FusedCSCSamplingGraph method) test_edges (dgl.data.AsLinkPredDataset attribute) test_idx (dgl.data.AsGraphPredDataset attribute) (dgl.data.AsNodePredDataset attribute) test_mask (dgl.data.FakeNewsDataset attribute) test_set (dgl.graphbolt.Task property) TexasDataset (class in dgl.data) to() (dgl.DGLGraph method) (dgl.graphbolt.FusedCSCSamplingGraph method) (dgl.graphbolt.MiniBatch method) (dgl.graphbolt.SampledSubgraph method) (dgl.graphbolt.SamplingGraph method) (dgl.graphbolt.TorchBasedFeature method) (dgl.graphbolt.TorchBasedFeatureStore method) (dgl.sparse.SparseMatrix method) to_bidirected() (in module dgl) to_block() (in module dgl) to_canonical_etype() (dgl.DGLGraph method) to_cugraph() (dgl.DGLGraph method) (in module dgl) to_dense() (dgl.sparse.SparseMatrix method) to_double() (in module dgl) to_float() (in module dgl) to_half() (in module dgl) to_heterogeneous() (in module dgl) to_homogeneous() (in module dgl) to_local() (dgl.distributed.PartitionPolicy method)

to_networkx() (in module dgl) to_partid() (dgl.distributed.PartitionPolicy method) to_pyg_data() (dgl.graphbolt.MiniBatch method) to_simple() (dgl.DGLGraph method) (in module dgl) to_simple_graph() (in module dgl) ToLevi (class in dgl.transforms) TolokersDataset (class in dgl.data) topk_edges() (in module dgl) topk_nodes() (in module dgl) topological_nodes_generator() (in module dgl) TorchBasedFeature (class in dgl.graphbolt) TorchBasedFeatureStore (class in dgl.graphbolt) ToSimple (class in dgl.transforms) total_num_edges (dgl.graphbolt.FusedCSCSamplingGraph property) total_num_nodes (dgl.graphbolt.FusedCSCSamplingGraph property) train_graph (dgl.data.AsLinkPredDataset attribute) train_idx (dgl.data.AsGraphPredDataset attribute) (dgl.data.AsNodePredDataset attribute) train_mask (dgl.data.FakeNewsDataset attribute) train_set (dgl.graphbolt.Task property) train_size (dgl.data.FraudDataset attribute) train_step() (dgl.nn.pytorch.explain.HeteroPGExplainer method) (dgl.nn.pytorch.explain.PGExplainer method) train_step_node() (dgl.nn.pytorch.explain.HeteroPGExplainer method) (dgl.nn.pytorch.explain.PGExplainer method) TransE (class in dgl.nn.pytorch.link) transpose() (dgl.sparse.SparseMatrix method) TransR (class in dgl.nn.pytorch.link) TreeCycleDataset (class in dgl.data) TreeGridDataset (class in dgl.data) TUDataset (class in dgl.data) TWIRLSConv (class in dgl.nn.pytorch.conv) TWIRLSUnfoldingAndAttention (class in dgl.nn.pytorch.conv) type_per_edge (dgl.graphbolt.FusedCSCSamplingGraph property) TypedLinear (class in dgl.nn.pytorch)

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 (in module dgl.dataloading.negative_sampler) UniformNegativeSampler (class in dgl.graphbolt) unique_and_compact() (in module dgl.graphbolt) unique_and_compact_csc_formats() (in module dgl.graphbolt) unpin_memory_() (dgl.DGLGraph method) update() (dgl.graphbolt.BasicFeatureStore method) (dgl.graphbolt.Feature method) (dgl.graphbolt.FeatureStore method) (dgl.graphbolt.GPUCachedFeature method) (dgl.graphbolt.TorchBasedFeature method) update_all() (dgl.DGLGraph method) url (dgl.data.DGLDataset attribute) use_libxsmm() (in module dgl)

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 (dgl.sparse.SparseMatrix property) val_edges (dgl.data.AsLinkPredDataset attribute) val_idx (dgl.data.AsGraphPredDataset attribute) (dgl.data.AsNodePredDataset attribute) val_like() (in module dgl.sparse) val_mask (dgl.data.FakeNewsDataset attribute) val_size (dgl.data.FraudDataset attribute) validation_set (dgl.graphbolt.Task property) verbose (dgl.data.DGLDataset attribute) vocab (dgl.data.SSTDataset attribute) vocab_size (dgl.data.SSTDataset attribute)

W

weight (dgl.nn.pytorch.conv.GraphConv attribute) WeightAndSum (class in dgl.nn.pytorch.glob) WeightBasis (class in dgl.nn.pytorch.utils)

WikiCSDataset (class in dgl.data) WisconsinDataset (class in dgl.data) WN18Dataset (class in dgl.data)

Y

yaml_data (dgl.graphbolt.OnDiskDataset property)

YelpDataset (class in dgl.data)

Z

ZINCDataset (class in dgl.data)