All modules for which code is available
- 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.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.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.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