CogDL
0.1.1
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API Reference
CogDL
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B
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C
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D
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E
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F
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G
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H
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I
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K
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L
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M
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N
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O
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P
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Q
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R
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Y
_
__call__() (data.Data method)
(data.data.Data method)
(layers.prone_module.ProNE method)
__contains__() (data.Data method)
(data.data.Data method)
__getitem__() (data.Data method)
(data.data.Data method)
(data.Dataset method)
(data.dataset.Dataset method)
(datasets.pyg.ENZYMES method)
(datasets.pyg_modelnet.ModelNetData10 method)
(datasets.pyg_modelnet.ModelNetData40 method)
(models.nn.dgl_gcc.NodeClassificationDataset method)
__inc__() (data.Data method)
(data.data.Data method)
__iter__() (data.Data method)
(data.data.Data method)
__len__() (data.Data method)
(data.data.Data method)
(data.Dataset method)
(data.dataset.Dataset method)
(datasets.pyg_modelnet.ModelNetData10 method)
(datasets.pyg_modelnet.ModelNetData40 method)
(models.nn.dgl_gcc.NodeClassificationDataset method)
__repr__() (data.Data method)
(data.data.Data method)
(data.Dataset method)
(data.dataset.Dataset method)
(datasets.gatne.GatneDataset method)
(datasets.gtn_data.GTNDataset method)
(datasets.han_data.HANDataset method)
(layers.maggregator.MeanAggregator method)
(layers.MeanAggregator method)
(models.nn.asgcn.GraphConvolution method)
(models.nn.fastgcn.GraphConvolution method)
(models.nn.gat.GraphAttentionLayer method)
(models.nn.gat.SpGraphAttentionLayer method)
(models.nn.gcn.GraphConvolution method)
(models.nn.grand.MLPLayer method)
__setitem__() (data.Data method)
(data.data.Data method)
_add_undirected_graph_positional_embedding() (in module models.nn.dgl_gcc)
_approximate_deepwalk_matrix() (models.emb.netmf.NetMF method)
_approximate_normalized_laplacian() (models.emb.netmf.NetMF method)
_chebyshev_gaussian() (models.emb.prone.ProNE method)
_compute_deepwalk_matrix() (models.emb.netmf.NetMF method)
_convert_idx() (models.nn.dgl_gcc.GraphClassificationDataset method)
(models.nn.dgl_gcc.NodeClassificationDataset method)
_create_dgl_graph() (models.nn.dgl_gcc.NodeClassificationDataset method)
_deepwalk_filter() (models.emb.netmf.NetMF method)
_download() (data.Dataset method)
(data.dataset.Dataset method)
_evaluate() (tasks.unsupervised_graph_classification.UnsupervisedGraphClassification method)
(tasks.unsupervised_node_classification.UnsupervisedNodeClassification method)
_generate_adj() (models.nn.fastgcn.FastGCN method)
_get_alias_edge() (models.emb.node2vec.Node2vec method)
_get_embedding() (models.emb.grarep.GraRep method)
(models.emb.hope.HOPE method)
_get_embedding_dense() (models.emb.prone.ProNE method)
_get_embedding_rand() (models.emb.netsmf.NetSMF method)
(models.emb.prone.ProNE method)
_kfold_train() (tasks.graph_classification.GraphClassification method)
_loss() (layers.link_prediction_module.GNNLinkPredict method)
_node2vec_walk() (models.emb.node2vec.Node2vec method)
_path_sampling() (models.emb.netsmf.NetSMF method)
_pre_factorization() (models.emb.prone.ProNE method)
_preprocess_transition_probs() (models.emb.node2vec.Node2vec method)
_process() (data.Dataset method)
(data.dataset.Dataset method)
_random_walk_matrix() (models.emb.netsmf.NetSMF method)
_regularization() (layers.link_prediction_module.GNNLinkPredict method)
_rwr_trace_to_dgl_graph() (in module models.nn.dgl_gcc)
_sample_one_layer() (models.nn.asgcn.ASGCN method)
(models.nn.fastgcn.FastGCN method)
_simulate_walks() (models.emb.deepwalk.DeepWalk method)
(models.emb.hin2vec.RWgraph method)
(models.emb.metapath2vec.Metapath2vec method)
(models.emb.node2vec.Node2vec method)
_test_step() (tasks.graph_classification.GraphClassification method)
(tasks.heterogeneous_node_classification.HeterogeneousNodeClassification method)
(tasks.link_prediction.KGLinkPrediction method)
(tasks.node_classification.NodeClassification method)
(tasks.node_classification_sampling.NodeClassificationSampling method)
_train() (tasks.graph_classification.GraphClassification method)
_train_line() (models.emb.line.LINE method)
(models.emb.pte.PTE method)
_train_step() (tasks.graph_classification.GraphClassification method)
(tasks.heterogeneous_node_classification.HeterogeneousNodeClassification method)
(tasks.link_prediction.KGLinkPrediction method)
(tasks.node_classification.NodeClassification method)
(tasks.node_classification_sampling.NodeClassificationSampling method)
_update() (models.emb.line.LINE method)
(models.emb.pte.PTE method)
_walk() (models.emb.deepwalk.DeepWalk method)
(models.emb.hin2vec.RWgraph method)
(models.emb.metapath2vec.Metapath2vec method)
A
ACM_GTNDataset (class in datasets.gtn_data)
ACM_HANDataset (class in datasets.han_data)
act_attention() (in module layers.srgcn_module)
act_map() (in module layers.srgcn_module)
act_normalization() (in module layers.srgcn_module)
add_args() (models.base_model.BaseModel static method)
(models.BaseModel static method)
(models.emb.deepwalk.DeepWalk static method)
(models.emb.dgk.DeepGraphKernel static method)
(models.emb.dngr.DNGR static method)
(models.emb.gatne.GATNE static method)
(models.emb.graph2vec.Graph2Vec static method)
(models.emb.grarep.GraRep static method)
(models.emb.hin2vec.Hin2vec static method)
(models.emb.hope.HOPE static method)
(models.emb.line.LINE static method)
(models.emb.metapath2vec.Metapath2vec static method)
(models.emb.netmf.NetMF static method)
(models.emb.netsmf.NetSMF static method)
(models.emb.node2vec.Node2vec static method)
(models.emb.prone.ProNE static method)
(models.emb.pte.PTE static method)
(models.emb.sdne.SDNE static method)
(models.emb.spectral.Spectral static method)
(models.nn.asgcn.ASGCN static method)
(models.nn.compgcn.LinkPredictCompGCN static method)
(models.nn.dgi.DGI static method)
(models.nn.dgl_gcc.GCC static method)
(models.nn.disengcn.DisenGCN static method)
(models.nn.fastgcn.FastGCN static method)
(models.nn.gat.PetarVGAT static method)
(models.nn.gcn.TKipfGCN static method)
(models.nn.gcnmix.GCNMix static method)
(models.nn.grand.Grand static method)
(models.nn.graphsage.Graphsage static method)
(models.nn.mixhop.MixHop static method)
(models.nn.mlp.MLP static method)
(models.nn.mvgrl.MVGRL static method)
(models.nn.patchy_san.PatchySAN static method)
(models.nn.pyg_cheb.Chebyshev static method)
(models.nn.pyg_dgcnn.DGCNN static method)
(models.nn.pyg_diffpool.DiffPool static method)
(models.nn.pyg_drgat.DrGAT static method)
(models.nn.pyg_drgcn.DrGCN static method)
(models.nn.pyg_gat.GAT static method)
(models.nn.pyg_gcn.GCN static method)
(models.nn.pyg_gin.GIN static method)
(models.nn.pyg_gtn.GTN static method)
(models.nn.pyg_han.HAN static method)
(models.nn.pyg_infograph.InfoGraph static method)
(models.nn.pyg_infomax.Infomax static method)
(models.nn.pyg_sortpool.SortPool static method)
(models.nn.pyg_srgcn.SRGCN static method)
(models.nn.pyg_unet.UNet static method)
(models.nn.rgcn.LinkPredictRGCN static method)
(models.nn.unsup_graphsage.Graphsage static method)
(tasks.base_task.BaseTask static method)
(tasks.BaseTask static method)
(tasks.graph_classification.GraphClassification static method)
(tasks.heterogeneous_node_classification.HeterogeneousNodeClassification static method)
(tasks.link_prediction.LinkPrediction static method)
(tasks.multiplex_link_prediction.MultiplexLinkPrediction static method)
(tasks.multiplex_node_classification.MultiplexNodeClassification static method)
(tasks.node_classification.NodeClassification static method)
(tasks.node_classification_sampling.NodeClassificationSampling static method)
(tasks.unsupervised_graph_classification.UnsupervisedGraphClassification static method)
(tasks.unsupervised_node_classification.UnsupervisedNodeClassification static method)
add_dataset_args() (in module options)
add_model_args() (in module options)
add_remaining_self_loops() (in module utils)
add_reverse_edges() (models.nn.compgcn.LinkPredictCompGCN method)
add_task_args() (in module options)
adj_pow_x() (layers.mixhop_layer.MixHopLayer method)
(layers.MixHopLayer method)
after_pooling_forward() (models.nn.pyg_diffpool.DiffPool method)
alias_draw() (in module models)
alias_setup() (in module models)
AmazonDataset (class in datasets.gatne)
apply() (data.Data method)
(data.data.Data method)
apply_to_device() (datasets.gtn_data.GTNDataset method)
(datasets.han_data.HANDataset method)
ApplyNodeFunc (class in layers.gcc_module)
ArgClass (class in utils)
args (in module utils)
ASGCN (class in models.nn.asgcn)
assemble_neighbor() (in module models.nn.patchy_san)
AttentionLayer (class in models.nn.pyg_han)
AvgReadout (class in models.nn.dgi)
B
backward() (models.nn.gat.SpecialSpmmFunction static method)
BaseGNNMix (class in models.nn.gcnmix)
BaseModel (class in models)
(class in models.base_model)
BasesRelEmbLayer (class in models.nn.compgcn)
BaseTask (class in tasks)
(class in tasks.base_task)
basis_forward() (models.nn.rgcn.RGCNLayer method)
Batch (class in data)
(class in data.batch)
BatchedDiffPool (class in models.nn.pyg_diffpool)
BatchedDiffPoolLayer (class in models.nn.pyg_diffpool)
BatchedGraphSAGE (class in models.nn.pyg_diffpool)
batcher() (in module models.nn.dgl_gcc)
bdd_forward() (models.nn.rgcn.RGCNLayer method)
BlogcatalogDataset (class in datasets.matlab_matrix)
build_args_from_dict() (in module utils)
build_dataset() (in module datasets)
build_dataset_from_name() (in module datasets)
build_model() (in module models)
(models.nn.patchy_san.PatchySAN method)
build_model_from_args() (models.base_model.BaseModel class method)
(models.BaseModel class method)
(models.emb.deepwalk.DeepWalk class method)
(models.emb.dgk.DeepGraphKernel class method)
(models.emb.dngr.DNGR class method)
(models.emb.gatne.GATNE class method)
(models.emb.graph2vec.Graph2Vec class method)
(models.emb.grarep.GraRep class method)
(models.emb.hin2vec.Hin2vec class method)
(models.emb.hope.HOPE class method)
(models.emb.line.LINE class method)
(models.emb.metapath2vec.Metapath2vec class method)
(models.emb.netmf.NetMF class method)
(models.emb.netsmf.NetSMF class method)
(models.emb.node2vec.Node2vec class method)
(models.emb.prone.ProNE class method)
(models.emb.pte.PTE class method)
(models.emb.sdne.SDNE class method)
(models.emb.spectral.Spectral class method)
(models.nn.asgcn.ASGCN class method)
(models.nn.compgcn.LinkPredictCompGCN class method)
(models.nn.dgi.DGI class method)
(models.nn.dgl_gcc.GCC class method)
(models.nn.disengcn.DisenGCN class method)
(models.nn.fastgcn.FastGCN class method)
(models.nn.gat.PetarVGAT class method)
(models.nn.gcn.TKipfGCN class method)
(models.nn.gcnmix.GCNMix class method)
(models.nn.grand.Grand class method)
(models.nn.graphsage.Graphsage class method)
(models.nn.mixhop.MixHop class method)
(models.nn.mlp.MLP class method)
(models.nn.mvgrl.MVGRL class method)
(models.nn.patchy_san.PatchySAN class method)
(models.nn.pyg_cheb.Chebyshev class method)
(models.nn.pyg_dgcnn.DGCNN class method)
(models.nn.pyg_diffpool.DiffPool class method)
(models.nn.pyg_drgat.DrGAT class method)
(models.nn.pyg_drgcn.DrGCN class method)
(models.nn.pyg_gat.GAT class method)
(models.nn.pyg_gcn.GCN class method)
(models.nn.pyg_gin.GIN class method)
(models.nn.pyg_gtn.GTN class method)
(models.nn.pyg_han.HAN class method)
(models.nn.pyg_infograph.InfoGraph class method)
(models.nn.pyg_infomax.Infomax class method)
(models.nn.pyg_sortpool.SortPool class method)
(models.nn.pyg_srgcn.SRGCN class method)
(models.nn.pyg_unet.UNet class method)
(models.nn.rgcn.LinkPredictRGCN class method)
(models.nn.unsup_graphsage.Graphsage class method)
build_task() (in module tasks)
C
cal_mrr() (in module layers.link_prediction_module)
cat_dim() (data.Data method)
(data.data.Data method)
ccorr() (in module models.nn.compgcn)
Chebyshev (class in models.nn.pyg_cheb)
chebyshev() (layers.prone_module.HeatKernelApproximation method)
CiteSeerDataset (class in datasets.pyg)
clone() (data.Data method)
(data.data.Data method)
cmp() (in module models.nn.patchy_san)
CollabDataset (class in datasets.dgl_data)
(class in datasets.pyg)
ColumnUniform (class in layers.srgcn_module)
com_mult() (in module models.nn.compgcn)
CompGCN (class in models.nn.compgcn)
CompGCNLayer (class in models.nn.compgcn)
compute_adjlist() (models.nn.asgcn.ASGCN method)
compute_ppr() (in module models.nn.mvgrl)
concat() (layers.link_prediction_module.ConvELayer method)
conj() (in module models.nn.compgcn)
consis_loss() (models.nn.grand.Grand method)
contiguous() (data.Data method)
(data.data.Data method)
ConvELayer (class in layers.link_prediction_module)
CoraDataset (class in datasets.pyg)
corruption() (in module models.nn.pyg_infomax)
cuda() (data.Data method)
(data.data.Data method)
cumsum() (data.Batch method)
(data.batch.Batch method)
D
data
module
Data (class in data)
(class in data.data)
data.batch
module
data.data
module
data.dataloader
module
data.dataset
module
data.download
module
data.extract
module
data.makedirs
module
data_preparation() (models.emb.hin2vec.RWgraph method)
DataListLoader (class in data)
(class in data.dataloader)
DataLoader (class in data)
(class in data.dataloader)
Dataset (class in data)
(class in data.dataset)
dataset_name (in module datasets)
DATASET_REGISTRY (in module datasets)
datasets
module
datasets.dgl_data
module
datasets.gatne
module
datasets.gcc_data
module
datasets.gtn_data
module
datasets.han_data
module
datasets.kg_data
module
datasets.matlab_matrix
module
datasets.pyg
module
datasets.pyg_modelnet
module
DBLP_GTNDataset (class in datasets.gtn_data)
DBLP_HANDataset (class in datasets.han_data)
DeepGraphKernel (class in models.emb.dgk)
DeepWalk (class in models.emb.deepwalk)
DenseDataLoader (class in data)
(class in data.dataloader)
DGCNN (class in models.nn.pyg_dgcnn)
DGI (class in models.nn.dgi)
DGIModel (class in models.nn.dgi)
dgl_import (in module datasets)
(in module models)
DiffPool (class in models.nn.pyg_diffpool)
Discriminator (class in models.nn.dgi)
(class in models.nn.mvgrl)
DisenGCN (class in models.nn.disengcn)
DisenGCNLayer (class in models.nn.disengcn)
DistMultLayer (class in layers.link_prediction_module)
divide_data() (in module tasks.link_prediction)
DNGR (class in models.emb.dngr)
DNGR_layer (class in models.emb.dngr)
download() (data.Dataset method)
(data.dataset.Dataset method)
(datasets.gatne.GatneDataset method)
(datasets.gcc_data.Edgelist method)
(datasets.gtn_data.GTNDataset method)
(datasets.han_data.HANDataset method)
(datasets.kg_data.KnowledgeGraphDataset method)
(datasets.matlab_matrix.MatlabMatrix method)
download_url() (in module data)
(in module data.download)
DrGAT (class in models.nn.pyg_drgat)
DrGCN (class in models.nn.pyg_drgcn)
dropNode() (models.nn.grand.Grand method)
E
edge_attention() (layers.gcc_module.GATLayer method)
edge_softmax() (in module utils)
EdgeAttention (class in layers.srgcn_module)
Edgelist (class in datasets.gcc_data)
eigen_decomposision() (in module models.nn.dgl_gcc)
embed() (models.nn.dgi.DGIModel method)
(models.nn.mvgrl.Model method)
(models.nn.unsup_graphsage.SAGE method)
Encoder (class in models.nn.pyg_infograph)
(class in models.nn.pyg_infomax)
enhance_emb() (tasks.unsupervised_node_classification.UnsupervisedNodeClassification method)
EntropyLoss (class in models.nn.pyg_diffpool)
ENZYMES (class in datasets.pyg)
evaluate() (in module tasks.link_prediction)
(in module tasks.multiplex_link_prediction)
(models.nn.pyg_gtn.GTN method)
(models.nn.pyg_han.HAN method)
extract_bz2() (in module data)
(in module data.extract)
extract_gz() (in module data)
(in module data.extract)
extract_tar() (in module data)
(in module data.extract)
extract_zip() (in module data)
(in module data.extract)
F
FastGCN (class in models.nn.fastgcn)
FB13Datset (class in datasets.kg_data)
FB15k237Datset (class in datasets.kg_data)
FB15kDatset (class in datasets.kg_data)
feature_extractor() (models.emb.dgk.DeepGraphKernel static method)
(models.emb.graph2vec.Graph2Vec static method)
FF (class in models.nn.pyg_infograph)
files_exist() (in module data.dataset)
FlickrDataset (class in datasets.matlab_matrix)
forward() (layers.gcc_module.ApplyNodeFunc method)
(layers.gcc_module.GATLayer method)
(layers.gcc_module.GraphEncoder method)
(layers.gcc_module.MLP method)
(layers.gcc_module.SELayer method)
(layers.gcc_module.UnsupervisedGAT method)
(layers.gcc_module.UnsupervisedGIN method)
(layers.gcc_module.UnsupervisedMPNN method)
(layers.link_prediction_module.ConvELayer method)
(layers.link_prediction_module.DistMultLayer method)
(layers.link_prediction_module.GNNLinkPredict method)
(layers.maggregator.MeanAggregator method)
(layers.MeanAggregator method)
(layers.mixhop_layer.MixHopLayer method)
(layers.MixHopLayer method)
(layers.se_layer.SELayer method)
(layers.SELayer method)
(layers.srgcn_module.ColumnUniform method)
(layers.srgcn_module.EdgeAttention method)
(layers.srgcn_module.Gaussian method)
(layers.srgcn_module.HeatKernel method)
(layers.srgcn_module.Identity method)
(layers.srgcn_module.NodeAttention method)
(layers.srgcn_module.NormIdentity method)
(layers.srgcn_module.PPR method)
(layers.srgcn_module.RowSoftmax method)
(layers.srgcn_module.RowUniform method)
(layers.srgcn_module.SymmetryNorm method)
(models.emb.dgk.DeepGraphKernel method)
(models.emb.dngr.DNGR_layer method)
(models.emb.gatne.GATNEModel method)
(models.emb.gatne.NSLoss method)
(models.emb.graph2vec.Graph2Vec method)
(models.emb.hin2vec.Hin2vec_layer method)
(models.emb.sdne.SDNE_layer method)
(models.nn.asgcn.ASGCN method)
(models.nn.asgcn.GraphConvolution method)
(models.nn.compgcn.BasesRelEmbLayer method)
(models.nn.compgcn.CompGCN method)
(models.nn.compgcn.CompGCNLayer method)
(models.nn.compgcn.LinkPredictCompGCN method)
(models.nn.dgi.AvgReadout method)
(models.nn.dgi.DGIModel method)
(models.nn.dgi.Discriminator method)
(models.nn.dgi.GCN method)
(models.nn.dgi.LogReg method)
(models.nn.disengcn.DisenGCN method)
(models.nn.disengcn.DisenGCNLayer method)
(models.nn.fastgcn.FastGCN method)
(models.nn.fastgcn.GraphConvolution method)
(models.nn.gat.GraphAttentionLayer method)
(models.nn.gat.PetarVGAT method)
(models.nn.gat.PetarVSpGAT method)
(models.nn.gat.SpecialSpmm method)
(models.nn.gat.SpecialSpmmFunction static method)
(models.nn.gat.SpGraphAttentionLayer method)
(models.nn.gcn.GraphConvolution method)
(models.nn.gcn.TKipfGCN method)
(models.nn.gcnmix.BaseGNNMix method)
(models.nn.gcnmix.GCNMix method)
(models.nn.grand.Grand method)
(models.nn.grand.MLPLayer method)
(models.nn.graphsage.Graphsage method)
(models.nn.graphsage.GraphSAGELayer method)
(models.nn.mixhop.MixHop method)
(models.nn.mlp.MLP method)
(models.nn.mvgrl.Discriminator method)
(models.nn.mvgrl.Model method)
(models.nn.patchy_san.PatchySAN method)
(models.nn.pyg_cheb.Chebyshev method)
(models.nn.pyg_dgcnn.DGCNN method)
(models.nn.pyg_diffpool.BatchedDiffPool method)
(models.nn.pyg_diffpool.BatchedDiffPoolLayer method)
(models.nn.pyg_diffpool.BatchedGraphSAGE method)
(models.nn.pyg_diffpool.DiffPool method)
(models.nn.pyg_diffpool.EntropyLoss method)
(models.nn.pyg_diffpool.GraphSAGE method)
(models.nn.pyg_diffpool.LinkPredLoss method)
(models.nn.pyg_drgat.DrGAT method)
(models.nn.pyg_drgcn.DrGCN method)
(models.nn.pyg_gat.GAT method)
(models.nn.pyg_gcn.GCN method)
(models.nn.pyg_gin.GIN method)
(models.nn.pyg_gin.GINLayer method)
(models.nn.pyg_gin.GINMLP method)
(models.nn.pyg_gtn.GTConv method)
(models.nn.pyg_gtn.GTLayer method)
(models.nn.pyg_gtn.GTN method)
(models.nn.pyg_han.AttentionLayer method)
(models.nn.pyg_han.HAN method)
(models.nn.pyg_han.HANLayer method)
(models.nn.pyg_infograph.Encoder method)
(models.nn.pyg_infograph.FF method)
(models.nn.pyg_infograph.InfoGraph method)
(models.nn.pyg_infograph.SUPEncoder method)
(models.nn.pyg_infomax.Encoder method)
(models.nn.pyg_infomax.Infomax method)
(models.nn.pyg_sortpool.SortPool method)
(models.nn.pyg_srgcn.NodeAdaptiveEncoder method)
(models.nn.pyg_srgcn.SRGCN method)
(models.nn.pyg_srgcn.SrgcnHead method)
(models.nn.pyg_srgcn.SrgcnSoftmaxHead method)
(models.nn.pyg_unet.UNet method)
(models.nn.rgcn.LinkPredictRGCN method)
(models.nn.rgcn.RGCN method)
(models.nn.rgcn.RGCNLayer method)
(models.nn.unsup_graphsage.SAGE method)
from_adjlist() (models.nn.asgcn.ASGCN method)
from_data_list() (data.Batch static method)
(data.batch.Batch static method)
from_dict() (data.Data static method)
(data.data.Data static method)
G
GAT (class in models.nn.pyg_gat)
GATLayer (class in layers.gcc_module)
GATNE (class in models.emb.gatne)
GatneDataset (class in datasets.gatne)
GATNEModel (class in models.emb.gatne)
Gaussian (class in layers.prone_module)
(class in layers.srgcn_module)
GCC (class in models.nn.dgl_gcc)
GCN (class in models.nn.dgi)
(class in models.nn.pyg_gcn)
GCNMix (class in models.nn.gcnmix)
gen_node_pairs() (in module tasks.link_prediction)
generate_data() (tasks.graph_classification.GraphClassification method)
generate_pairs() (in module models.emb.gatne)
generate_vocab() (in module models.emb.gatne)
generate_walks() (in module models.emb.gatne)
get() (data.Dataset method)
(data.dataset.Dataset method)
(datasets.gatne.GatneDataset method)
(datasets.gcc_data.Edgelist method)
(datasets.gtn_data.GTNDataset method)
(datasets.han_data.HANDataset method)
(datasets.kg_data.KnowledgeGraphDataset method)
(datasets.matlab_matrix.MatlabMatrix method)
get_all() (datasets.pyg_modelnet.ModelNetData10 method)
(datasets.pyg_modelnet.ModelNetData40 method)
get_batches() (in module models.emb.gatne)
(in module tasks.node_classification_sampling)
get_current_consistency_weight() (in module models.nn.gcnmix)
get_denoised_matrix() (models.emb.dngr.DNGR method)
get_display_data_parser() (in module options)
get_download_data_parser() (in module options)
get_edge_set() (layers.link_prediction_module.GNNLinkPredict method)
get_emb() (models.emb.dngr.DNGR method)
(models.emb.hin2vec.Hin2vec_layer method)
(models.emb.sdne.SDNE_layer method)
get_embedding_dense() (in module layers.prone_module)
get_filtered_rank() (in module layers.link_prediction_module)
get_G_from_edges() (in module models.emb.gatne)
get_loss() (models.nn.pyg_diffpool.BatchedDiffPool method)
(models.nn.pyg_diffpool.BatchedDiffPoolLayer method)
get_one_hot_label() (in module models.nn.gcnmix)
get_param() (models.nn.compgcn.CompGCNLayer method)
get_parser() (in module options)
get_ppmi_matrix() (models.emb.dngr.DNGR method)
get_rank() (in module layers.link_prediction_module)
get_raw_rank() (in module layers.link_prediction_module)
get_score() (in module tasks.link_prediction)
(in module tasks.multiplex_link_prediction)
(layers.link_prediction_module.GNNLinkPredict method)
get_single_feature() (in module models.nn.patchy_san)
get_training_parser() (in module options)
GIN (class in models.nn.pyg_gin)
GINLayer (class in models.nn.pyg_gin)
GINMLP (class in models.nn.pyg_gin)
GNNLinkPredict (class in layers.link_prediction_module)
Grand (class in models.nn.grand)
Graph2Vec (class in models.emb.graph2vec)
GraphAttentionLayer (class in models.nn.gat)
GraphClassification (class in tasks.graph_classification)
GraphClassificationDataset (class in models.nn.dgl_gcc)
GraphConvolution (class in models.nn.asgcn)
(class in models.nn.fastgcn)
(class in models.nn.gcn)
GraphEncoder (class in layers.gcc_module)
Graphsage (class in models.nn.graphsage)
GraphSAGE (class in models.nn.pyg_diffpool)
Graphsage (class in models.nn.unsup_graphsage)
GraphSAGELayer (class in models.nn.graphsage)
GraRep (class in models.emb.grarep)
GTConv (class in models.nn.pyg_gtn)
GTLayer (class in models.nn.pyg_gtn)
GTN (class in models.nn.pyg_gtn)
GTNDataset (class in datasets.gtn_data)
H
HAN (class in models.nn.pyg_han)
HANDataset (class in datasets.han_data)
HANLayer (class in models.nn.pyg_han)
HeatKernel (class in layers.prone_module)
(class in layers.srgcn_module)
HeatKernelApproximation (class in layers.prone_module)
HeterogeneousNodeClassification (class in tasks.heterogeneous_node_classification)
Hin2vec (class in models.emb.hin2vec)
Hin2vec_layer (class in models.emb.hin2vec)
HomoLinkPrediction (class in tasks.link_prediction)
HOPE (class in models.emb.hope)
I
Identity (class in layers.srgcn_module)
IMDB_GTNDataset (class in datasets.gtn_data)
IMDB_HANDataset (class in datasets.han_data)
ImdbBinaryDataset (class in datasets.dgl_data)
(class in datasets.pyg)
ImdbMultiDataset (class in datasets.dgl_data)
(class in datasets.pyg)
InfoGraph (class in models.nn.pyg_infograph)
Infomax (class in models.nn.pyg_infomax)
is_coalesced() (data.Data method)
(data.data.Data method)
K
keys() (data.Data property)
(data.data.Data property)
KGLinkPrediction (class in tasks.link_prediction)
KnowledgeGraphDataset (class in datasets.kg_data)
L
layer (in module layers.mixhop_layer)
layers
module
layers.gcc_module
module
layers.link_prediction_module
module
layers.maggregator
module
layers.mixhop_layer
module
layers.prone_module
module
layers.se_layer
module
layers.srgcn_module
module
LINE (class in models.emb.line)
LinkPredictCompGCN (class in models.nn.compgcn)
LinkPrediction (class in tasks.link_prediction)
LinkPredictRGCN (class in models.nn.rgcn)
LinkPredLoss (class in models.nn.pyg_diffpool)
LogReg (class in models.nn.dgi)
LogRegTrainer (class in models.nn.dgi)
loss() (models.nn.compgcn.LinkPredictCompGCN method)
(models.nn.disengcn.DisenGCN method)
(models.nn.gat.PetarVSpGAT method)
(models.nn.gcn.TKipfGCN method)
(models.nn.gcnmix.BaseGNNMix method)
(models.nn.gcnmix.GCNMix method)
(models.nn.grand.Grand method)
(models.nn.graphsage.Graphsage method)
(models.nn.mixhop.MixHop method)
(models.nn.mlp.MLP method)
(models.nn.pyg_cheb.Chebyshev method)
(models.nn.pyg_diffpool.DiffPool method)
(models.nn.pyg_drgat.DrGAT method)
(models.nn.pyg_drgcn.DrGCN method)
(models.nn.pyg_gat.GAT method)
(models.nn.pyg_gcn.GCN method)
(models.nn.pyg_gin.GIN method)
(models.nn.pyg_gtn.GTN method)
(models.nn.pyg_han.HAN method)
(models.nn.pyg_infomax.Infomax method)
(models.nn.pyg_srgcn.SRGCN method)
(models.nn.pyg_unet.UNet method)
(models.nn.rgcn.LinkPredictRGCN method)
(models.nn.unsup_graphsage.SAGE method)
M
makedirs() (in module data.makedirs)
MatlabMatrix (class in datasets.matlab_matrix)
maybe_log() (in module data.extract)
MeanAggregator (class in layers)
(class in layers.maggregator)
message_func() (layers.gcc_module.GATLayer method)
message_passing() (models.nn.compgcn.CompGCNLayer method)
Metapath2vec (class in models.emb.metapath2vec)
mi_loss() (models.nn.pyg_infograph.InfoGraph static method)
mix_hidden_state() (in module models.nn.gcnmix)
MixHop (class in models.nn.mixhop)
MixHopLayer (class in layers)
(class in layers.mixhop_layer)
MLP (class in layers.gcc_module)
(class in models.nn.mlp)
MLPLayer (class in models.nn.grand)
Model (class in models.nn.mvgrl)
model_name (in module models)
MODEL_REGISTRY (in module models)
ModelNet10 (class in datasets.pyg_modelnet)
ModelNet40 (class in datasets.pyg_modelnet)
ModelNetData10 (class in datasets.pyg_modelnet)
ModelNetData40 (class in datasets.pyg_modelnet)
models
module
models.base_model
module
models.emb
module
models.emb.deepwalk
module
models.emb.dgk
module
models.emb.dngr
module
models.emb.gatne
module
models.emb.graph2vec
module
models.emb.grarep
module
models.emb.hin2vec
module
models.emb.hope
module
models.emb.line
module
models.emb.metapath2vec
module
models.emb.netmf
module
models.emb.netsmf
module
models.emb.node2vec
module
models.emb.prone
module
models.emb.pte
module
models.emb.sdne
module
models.emb.spectral
module
models.nn
module
models.nn.asgcn
module
models.nn.compgcn
module
models.nn.dgi
module
models.nn.dgl_gcc
module
models.nn.disengcn
module
models.nn.fastgcn
module
models.nn.gat
module
models.nn.gcn
module
models.nn.gcnmix
module
models.nn.grand
module
models.nn.graphsage
module
models.nn.mixhop
module
models.nn.mlp
module
models.nn.mvgrl
module
models.nn.patchy_san
module
models.nn.pyg_cheb
module
models.nn.pyg_dgcnn
module
models.nn.pyg_diffpool
module
models.nn.pyg_drgat
module
models.nn.pyg_drgcn
module
models.nn.pyg_gat
module
models.nn.pyg_gcn
module
models.nn.pyg_gin
module
models.nn.pyg_gtn
module
models.nn.pyg_han
module
models.nn.pyg_infograph
module
models.nn.pyg_infomax
module
models.nn.pyg_sortpool
module
models.nn.pyg_srgcn
module
models.nn.pyg_unet
module
models.nn.rgcn
module
models.nn.unsup_graphsage
module
module
data
data.batch
data.data
data.dataloader
data.dataset
data.download
data.extract
data.makedirs
datasets
datasets.dgl_data
datasets.gatne
datasets.gcc_data
datasets.gtn_data
datasets.han_data
datasets.kg_data
datasets.matlab_matrix
datasets.pyg
datasets.pyg_modelnet
layers
layers.gcc_module
layers.link_prediction_module
layers.maggregator
layers.mixhop_layer
layers.prone_module
layers.se_layer
layers.srgcn_module
models
models.base_model
models.emb
models.emb.deepwalk
models.emb.dgk
models.emb.dngr
models.emb.gatne
models.emb.graph2vec
models.emb.grarep
models.emb.hin2vec
models.emb.hope
models.emb.line
models.emb.metapath2vec
models.emb.netmf
models.emb.netsmf
models.emb.node2vec
models.emb.prone
models.emb.pte
models.emb.sdne
models.emb.spectral
models.nn
models.nn.asgcn
models.nn.compgcn
models.nn.dgi
models.nn.dgl_gcc
models.nn.disengcn
models.nn.fastgcn
models.nn.gat
models.nn.gcn
models.nn.gcnmix
models.nn.grand
models.nn.graphsage
models.nn.mixhop
models.nn.mlp
models.nn.mvgrl
models.nn.patchy_san
models.nn.pyg_cheb
models.nn.pyg_dgcnn
models.nn.pyg_diffpool
models.nn.pyg_drgat
models.nn.pyg_drgcn
models.nn.pyg_gat
models.nn.pyg_gcn
models.nn.pyg_gin
models.nn.pyg_gtn
models.nn.pyg_han
models.nn.pyg_infograph
models.nn.pyg_infomax
models.nn.pyg_sortpool
models.nn.pyg_srgcn
models.nn.pyg_unet
models.nn.rgcn
models.nn.unsup_graphsage
options
tasks
tasks.base_task
tasks.graph_classification
tasks.heterogeneous_node_classification
tasks.link_prediction
tasks.multiplex_link_prediction
tasks.multiplex_node_classification
tasks.node_classification
tasks.node_classification_sampling
tasks.unsupervised_graph_classification
tasks.unsupervised_node_classification
utils
mul_edge_softmax() (in module utils)
MultiplexLinkPrediction (class in tasks.multiplex_link_prediction)
MultiplexNodeClassification (class in tasks.multiplex_node_classification)
MUTAGDataset (class in datasets.dgl_data)
(class in datasets.pyg)
MVGRL (class in models.nn.mvgrl)
N
NCT109Dataset (class in datasets.pyg)
NCT1Dataset (class in datasets.pyg)
NetMF (class in models.emb.netmf)
NetSMF (class in models.emb.netsmf)
Node2vec (class in models.emb.node2vec)
node_degree_as_feature() (in module tasks.graph_classification)
node_selection_with_1d_wl() (in module models.nn.patchy_san)
NodeAdaptiveEncoder (class in layers.prone_module)
(class in models.nn.pyg_srgcn)
NodeAttention (class in layers.srgcn_module)
NodeClassification (class in tasks.node_classification)
NodeClassificationDataset (class in models.nn.dgl_gcc)
NodeClassificationSampling (class in tasks.node_classification_sampling)
norm() (layers.maggregator.MeanAggregator static method)
(layers.MeanAggregator static method)
(models.nn.pyg_gtn.GTN method)
normalization() (models.nn.pyg_gtn.GTN method)
normalize_adj() (in module models.nn.dgi)
(in module models.nn.mvgrl)
(models.nn.grand.Grand method)
normalize_x() (models.nn.grand.Grand method)
NormIdentity (class in layers.srgcn_module)
NSLoss (class in models.emb.gatne)
num_edges() (data.Data property)
(data.data.Data property)
num_features() (data.Data property)
(data.data.Data property)
(data.Dataset property)
(data.dataset.Dataset property)
num_graphs() (data.Batch property)
(data.batch.Batch property)
num_nodes() (data.Data property)
(data.data.Data property)
O
one_dim_wl() (in module models.nn.patchy_san)
options
module
P
parse_args_and_arch() (in module options)
PatchySAN (class in models.nn.patchy_san)
PetarVGAT (class in models.nn.gat)
PetarVSpGAT (class in models.nn.gat)
PPIDataset (class in datasets.matlab_matrix)
PPR (class in layers.prone_module)
(class in layers.srgcn_module)
predict() (layers.link_prediction_module.ConvELayer method)
(layers.link_prediction_module.DistMultLayer method)
(models.nn.compgcn.LinkPredictCompGCN method)
(models.nn.disengcn.DisenGCN method)
(models.nn.gat.PetarVSpGAT method)
(models.nn.gcn.TKipfGCN method)
(models.nn.gcnmix.BaseGNNMix method)
(models.nn.gcnmix.GCNMix method)
(models.nn.grand.Grand method)
(models.nn.graphsage.Graphsage method)
(models.nn.mixhop.MixHop method)
(models.nn.mlp.MLP method)
(models.nn.pyg_cheb.Chebyshev method)
(models.nn.pyg_drgat.DrGAT method)
(models.nn.pyg_drgcn.DrGCN method)
(models.nn.pyg_gat.GAT method)
(models.nn.pyg_gcn.GCN method)
(models.nn.pyg_infomax.Infomax method)
(models.nn.pyg_srgcn.SRGCN method)
(models.nn.pyg_unet.UNet method)
(models.nn.rgcn.LinkPredictRGCN method)
(tasks.unsupervised_node_classification.TopKRanker method)
predict_noise() (models.nn.gcnmix.BaseGNNMix method)
preprocess_features() (in module models.nn.dgi)
(in module models.nn.mvgrl)
process() (data.Dataset method)
(data.dataset.Dataset method)
(datasets.gatne.GatneDataset method)
(datasets.gcc_data.Edgelist method)
(datasets.gtn_data.GTNDataset method)
(datasets.han_data.HANDataset method)
(datasets.kg_data.KnowledgeGraphDataset method)
(datasets.matlab_matrix.MatlabMatrix method)
processed_file_names() (data.Dataset property)
(data.dataset.Dataset property)
(datasets.gatne.GatneDataset property)
(datasets.gcc_data.Edgelist property)
(datasets.gtn_data.GTNDataset property)
(datasets.han_data.HANDataset property)
(datasets.kg_data.KnowledgeGraphDataset property)
(datasets.matlab_matrix.MatlabMatrix property)
processed_paths() (data.Dataset property)
(data.dataset.Dataset property)
ProNE (class in layers.prone_module)
(class in models.emb.prone)
prop() (layers.prone_module.Gaussian method)
(layers.prone_module.HeatKernel method)
(layers.prone_module.HeatKernelApproximation method)
(layers.prone_module.NodeAdaptiveEncoder static method)
(layers.prone_module.PPR method)
(layers.prone_module.SignalRescaling method)
prop_adjacency() (layers.prone_module.HeatKernel method)
propagate() (in module layers.prone_module)
ProtainsDataset (class in datasets.dgl_data)
(class in datasets.pyg)
PTCMRDataset (class in datasets.pyg)
PTE (class in models.emb.pte)
PubMedDataset (class in datasets.pyg)
pyg (in module datasets)
(in module models)
(in module tasks.unsupervised_node_classification)
Q
QM9Dataset (class in datasets.pyg)
R
rand_prop() (models.nn.grand.Grand method)
random_surfing() (models.emb.dngr.DNGR method)
randomly_choose_false_edges() (in module tasks.link_prediction)
raw_file_names() (data.Dataset property)
(data.dataset.Dataset property)
(datasets.gatne.GatneDataset property)
(datasets.gcc_data.Edgelist property)
(datasets.gtn_data.GTNDataset property)
(datasets.han_data.HANDataset property)
(datasets.kg_data.KnowledgeGraphDataset property)
(datasets.matlab_matrix.MatlabMatrix property)
raw_paths() (data.Dataset property)
(data.dataset.Dataset property)
read_gatne_data() (in module datasets.gatne)
read_gtn_data() (datasets.gtn_data.GTNDataset method)
(datasets.han_data.HANDataset method)
read_triplet_data() (in module datasets.kg_data)
RedditBinary (class in datasets.pyg)
RedditDataset (class in datasets.pyg)
RedditMulti12K (class in datasets.pyg)
RedditMulti5K (class in datasets.pyg)
reduce_func() (layers.gcc_module.GATLayer method)
register_dataset() (in module datasets)
register_model() (in module models)
register_task() (in module tasks)
regulartion() (models.emb.hin2vec.Hin2vec_layer method)
rel_transform() (models.nn.compgcn.CompGCNLayer method)
remove_self_loops() (in module utils)
reset_parameters() (layers.mixhop_layer.MixHopLayer method)
(layers.MixHopLayer method)
(models.emb.gatne.GATNEModel method)
(models.emb.gatne.NSLoss method)
(models.nn.asgcn.ASGCN method)
(models.nn.asgcn.GraphConvolution method)
(models.nn.compgcn.BasesRelEmbLayer method)
(models.nn.disengcn.DisenGCN method)
(models.nn.disengcn.DisenGCNLayer method)
(models.nn.fastgcn.GraphConvolution method)
(models.nn.gcn.GraphConvolution method)
(models.nn.grand.MLPLayer method)
(models.nn.pyg_diffpool.DiffPool method)
(models.nn.pyg_gtn.GTConv method)
(models.nn.pyg_infograph.InfoGraph method)
(models.nn.rgcn.RGCNLayer method)
RGCN (class in models.nn.rgcn)
RGCNLayer (class in models.nn.rgcn)
row_normalization() (in module utils)
RowSoftmax (class in layers.srgcn_module)
RowUniform (class in layers.srgcn_module)
RWGraph (class in models.emb.gatne)
RWgraph (class in models.emb.hin2vec)
S
SAGE (class in models.nn.unsup_graphsage)
sage_sampler() (in module models.nn.graphsage)
sample_mask() (in module datasets.han_data)
sampling() (models.nn.asgcn.ASGCN method)
(models.nn.fastgcn.FastGCN method)
(models.nn.graphsage.Graphsage method)
(models.nn.unsup_graphsage.SAGE method)
sampling_edge_uniform() (in module layers.link_prediction_module)
save_emb() (tasks.unsupervised_graph_classification.UnsupervisedGraphClassification method)
(tasks.unsupervised_node_classification.UnsupervisedNodeClassification method)
save_embedding() (models.emb.dgk.DeepGraphKernel method)
(models.emb.graph2vec.Graph2Vec method)
scale_matrix() (models.emb.dngr.DNGR method)
scatter_sum() (in module models.nn.pyg_sortpool)
SDNE (class in models.emb.sdne)
SDNE_layer (class in models.emb.sdne)
SELayer (class in layers)
(class in layers.gcc_module)
(class in layers.se_layer)
select_task() (in module tasks.link_prediction)
set_adj() (models.nn.asgcn.ASGCN method)
(models.nn.fastgcn.FastGCN method)
sharpen() (in module models.nn.gcnmix)
SignalRescaling (class in layers.prone_module)
simulate_walks() (models.emb.gatne.RWGraph method)
SortPool (class in models.nn.pyg_sortpool)
spare2dense_batch() (in module models.nn.pyg_sortpool)
sparse_mx_to_torch_sparse_tensor() (in module models.nn.dgi)
(in module models.nn.mvgrl)
SpecialSpmm (class in models.nn.gat)
SpecialSpmmFunction (class in models.nn.gat)
Spectral (class in models.emb.spectral)
SpGraphAttentionLayer (class in models.nn.gat)
split_dataset() (models.nn.patchy_san.PatchySAN class method)
(models.nn.pyg_dgcnn.DGCNN class method)
(models.nn.pyg_diffpool.DiffPool class method)
(models.nn.pyg_gin.GIN class method)
(models.nn.pyg_infograph.InfoGraph class method)
(models.nn.pyg_sortpool.SortPool class method)
spmm() (in module utils)
spmm_adj() (in module utils)
SRGCN (class in models.nn.pyg_srgcn)
SrgcnHead (class in models.nn.pyg_srgcn)
SrgcnSoftmaxHead (class in models.nn.pyg_srgcn)
sup_forward() (models.nn.pyg_infograph.InfoGraph method)
sup_loss() (models.nn.pyg_infograph.InfoGraph method)
SUPEncoder (class in models.nn.pyg_infograph)
symmetric_normalization() (in module utils)
SymmetryNorm (class in layers.srgcn_module)
T
task_name (in module tasks)
TASK_REGISTRY (in module tasks)
tasks
module
tasks.base_task
module
tasks.graph_classification
module
tasks.heterogeneous_node_classification
module
tasks.link_prediction
module
tasks.multiplex_link_prediction
module
tasks.multiplex_node_classification
module
tasks.node_classification
module
tasks.node_classification_sampling
module
tasks.unsupervised_graph_classification
module
tasks.unsupervised_node_classification
module
taylor() (layers.prone_module.HeatKernelApproximation method)
test_index() (datasets.pyg_modelnet.ModelNetData10 property)
(datasets.pyg_modelnet.ModelNetData40 property)
test_moco() (in module models.nn.dgl_gcc)
TKipfGCN (class in models.nn.gcn)
to() (data.Data method)
(data.data.Data method)
to_data_list() (data.Batch method)
(data.batch.Batch method)
to_list() (in module data.dataset)
toBatchedGraph() (in module models.nn.pyg_diffpool)
TopKRanker (class in tasks.unsupervised_node_classification)
train() (models.emb.deepwalk.DeepWalk method)
(models.emb.dngr.DNGR method)
(models.emb.gatne.GATNE method)
(models.emb.grarep.GraRep method)
(models.emb.hin2vec.Hin2vec method)
(models.emb.hope.HOPE method)
(models.emb.line.LINE method)
(models.emb.metapath2vec.Metapath2vec method)
(models.emb.netmf.NetMF method)
(models.emb.netsmf.NetSMF method)
(models.emb.node2vec.Node2vec method)
(models.emb.prone.ProNE method)
(models.emb.pte.PTE method)
(models.emb.sdne.SDNE method)
(models.emb.spectral.Spectral method)
(models.nn.dgi.DGI method)
(models.nn.dgi.LogRegTrainer method)
(models.nn.dgl_gcc.GCC method)
(models.nn.mvgrl.MVGRL method)
(models.nn.unsup_graphsage.Graphsage method)
(tasks.base_task.BaseTask method)
(tasks.BaseTask method)
(tasks.graph_classification.GraphClassification method)
(tasks.heterogeneous_node_classification.HeterogeneousNodeClassification method)
(tasks.link_prediction.HomoLinkPrediction method)
(tasks.link_prediction.KGLinkPrediction method)
(tasks.link_prediction.LinkPrediction method)
(tasks.multiplex_link_prediction.MultiplexLinkPrediction method)
(tasks.multiplex_node_classification.MultiplexNodeClassification method)
(tasks.node_classification.NodeClassification method)
(tasks.node_classification_sampling.NodeClassificationSampling method)
(tasks.unsupervised_graph_classification.UnsupervisedGraphClassification method)
(tasks.unsupervised_node_classification.UnsupervisedNodeClassification method)
train_index() (datasets.pyg_modelnet.ModelNetData10 property)
(datasets.pyg_modelnet.ModelNetData40 property)
TwitterDataset (class in datasets.gatne)
U
UNet (class in models.nn.pyg_unet)
uniform_node_feature() (in module tasks.graph_classification)
unsup_forward() (models.nn.pyg_infograph.InfoGraph method)
unsup_loss() (models.nn.pyg_infograph.InfoGraph method)
unsup_sup_loss() (models.nn.pyg_infograph.InfoGraph method)
UnsupervisedGAT (class in layers.gcc_module)
UnsupervisedGIN (class in layers.gcc_module)
UnsupervisedGraphClassification (class in tasks.unsupervised_graph_classification)
UnsupervisedMPNN (class in layers.gcc_module)
UnsupervisedNodeClassification (class in tasks.unsupervised_node_classification)
untar() (in module datasets.gtn_data)
(in module datasets.han_data)
update() (layers.maggregator.MeanAggregator method)
(layers.MeanAggregator method)
update_mix() (models.nn.gcnmix.BaseGNNMix method)
update_soft() (models.nn.gcnmix.BaseGNNMix method)
url (datasets.gatne.GatneDataset attribute)
(datasets.gcc_data.Edgelist attribute)
(datasets.kg_data.KnowledgeGraphDataset attribute)
USAAirportDataset (class in datasets.gcc_data)
utils
module
W
walk() (models.emb.gatne.RWGraph method)
weights_init() (models.nn.dgi.Discriminator method)
(models.nn.dgi.GCN method)
(models.nn.dgi.LogReg method)
(models.nn.mvgrl.Discriminator method)
WikipediaDataset (class in datasets.matlab_matrix)
wl_iterations() (models.emb.dgk.DeepGraphKernel static method)
(models.emb.graph2vec.Graph2Vec static method)
WN18Datset (class in datasets.kg_data)
WN18RRDataset (class in datasets.kg_data)
Y
YouTubeDataset (class in datasets.gatne)
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