PyTorch Geometric Temporal
==================

.. contents:: Contents
    :local:

Recurrent Graph Convolutional Layers
--------------

.. autoapimodule:: torch_geometric_temporal.nn.recurrent.gconv_gru
	:members:
	:exclude-members: TemporalAttention, SpatialAttention, TemporalAttention, Conv2D, FullyConnected, Linear, GraphConstructor, DilatedInception, FullyConnected, Conv2D, LayerNormalization, AggregateTemporalNodeFeatures, GlobalGatedUpdater, MaskedSelfAttention, WeightedGCNBlock, DyGrEncoder, A3TGCN2, AVWGCN, TGCN2, BatchedDCRNN, GCLSTM, MPNNLSTM, EvolveGCNO, LRGCN, GConvLSTM, BatchedDConv, GCNConv_Fixed_W, DCRNN, AGCRN, EvolveGCNH, TGCN, DConv, A3TGCN, K, bias, in_channels, out_channels, normalization, num_bases, num_relations, conv_aggr, conv_num_layers, conv_out_channels, lstm_num_layers, lstm_out_channels, add_self_loops, cached, improved, initial_weight, normalize, num_of_nodes, reinitialize_weight, reset_parameters, weight, batch_size, periods, dropout, hidden_size, num_nodes, window, number_of_nodes, bias_pool, weights_pool, hidden_channels, A, attention, edge_index, gcn1, graph, relu, tcn1, kernel_size, conv_1, conv_2, conv_3, nb_time_filter, adaptive, bn, conv_d, in_c, inter_c, num_jpts, num_subset, out_c, sigmoid, soft, tan, conv, embedding_dimensions, Wq, global_gated_updater, item_embedding, item_embedding_dim, items_total, masked_self_attention, stacked_gcn, in_channels_dict, meta

.. autoapimodule:: torch_geometric_temporal.nn.recurrent.gconv_lstm
	:members:
	:exclude-members: SpatialAttention, TemporalAttention, Conv2D, FullyConnected, Linear, GraphConstructor, DilatedInception, FullyConnected, Conv2D, LayerNormalization, AggregateTemporalNodeFeatures, GlobalGatedUpdater, MaskedSelfAttention, WeightedGCNBlock, DyGrEncoder, A3TGCN2, AVWGCN, TGCN2, BatchedDCRNN, GCLSTM, MPNNLSTM, EvolveGCNO, LRGCN, GConvGRU, BatchedDConv, GCNConv_Fixed_W, DCRNN, AGCRN, EvolveGCNH, TGCN, DConv, A3TGCN, K, bias, in_channels, out_channels, normalization, num_bases, num_relations, conv_aggr, conv_num_layers, conv_out_channels, lstm_num_layers, lstm_out_channels, add_self_loops, cached, improved, initial_weight, normalize, num_of_nodes, reinitialize_weight, reset_parameters, weight, batch_size, periods, dropout, hidden_size, num_nodes, window, number_of_nodes, bias_pool, weights_pool, hidden_channels, A, attention, edge_index, gcn1, graph, relu, tcn1, kernel_size, conv_1, conv_2, conv_3, nb_time_filter, adaptive, bn, conv_d, in_c, inter_c, num_jpts, num_subset, out_c, sigmoid, soft, tan, conv, embedding_dimensions, Wq, global_gated_updater, item_embedding, item_embedding_dim, items_total, masked_self_attention, stacked_gcn, in_channels_dict, meta

.. autoapimodule:: torch_geometric_temporal.nn.recurrent.gc_lstm
	:members:
	:exclude-members: SpatialAttention, TemporalAttention, Conv2D, FullyConnected, Linear, GraphConstructor, DilatedInception, FullyConnected, Conv2D, LayerNormalization, AggregateTemporalNodeFeatures, GlobalGatedUpdater, MaskedSelfAttention, WeightedGCNBlock, DyGrEncoder, A3TGCN2, AVWGCN, TGCN2, BatchedDCRNN, MPNNLSTM, EvolveGCNO, LRGCN, GConvLSTM, GConvGRU, BatchedDConv, GCNConv_Fixed_W, DCRNN, AGCRN, EvolveGCNH, TGCN, DConv, A3TGCN, K, bias, in_channels, out_channels, normalization, num_bases, num_relations, conv_aggr, conv_num_layers, conv_out_channels, lstm_num_layers, lstm_out_channels, add_self_loops, cached, improved, initial_weight, normalize, num_of_nodes, reinitialize_weight, reset_parameters, weight, batch_size, periods, dropout, hidden_size, num_nodes, window, number_of_nodes, bias_pool, weights_pool, hidden_channels, A, attention, edge_index, gcn1, graph, relu, tcn1, kernel_size, conv_1, conv_2, conv_3, nb_time_filter, adaptive, bn, conv_d, in_c, inter_c, num_jpts, num_subset, out_c, sigmoid, soft, tan, conv, embedding_dimensions, Wq, global_gated_updater, item_embedding, item_embedding_dim, items_total, masked_self_attention, stacked_gcn, in_channels_dict, meta

.. autoapimodule:: torch_geometric_temporal.nn.recurrent.lrgcn
	:members:
	:exclude-members: SpatialAttention, TemporalAttention, Conv2D, FullyConnected, Linear, GraphConstructor, DilatedInception, FullyConnected, Conv2D, LayerNormalization, AggregateTemporalNodeFeatures, GlobalGatedUpdater, MaskedSelfAttention, WeightedGCNBlock, DyGrEncoder, A3TGCN2, AVWGCN, TGCN2, BatchedDCRNN, GCLSTM, MPNNLSTM, EvolveGCNO, GConvLSTM, GConvGRU, BatchedDConv, GCNConv_Fixed_W, DCRNN, AGCRN, EvolveGCNH, TGCN, DConv, A3TGCN, K, bias, in_channels, out_channels, normalization, num_bases, num_relations, conv_aggr, conv_num_layers, conv_out_channels, lstm_num_layers, lstm_out_channels, add_self_loops, cached, improved, initial_weight, normalize, num_of_nodes, reinitialize_weight, reset_parameters, weight, batch_size, periods, dropout, hidden_size, num_nodes, window, number_of_nodes, bias_pool, weights_pool, hidden_channels, A, attention, edge_index, gcn1, graph, relu, tcn1, kernel_size, conv_1, conv_2, conv_3, nb_time_filter, adaptive, bn, conv_d, in_c, inter_c, num_jpts, num_subset, out_c, sigmoid, soft, tan, conv, embedding_dimensions, Wq, global_gated_updater, item_embedding, item_embedding_dim, items_total, masked_self_attention, stacked_gcn, in_channels_dict, meta

.. autoapimodule:: torch_geometric_temporal.nn.recurrent.dygrae
	:members:
	:exclude-members: SpatialAttention, TemporalAttention, Conv2D, FullyConnected, Linear, GraphConstructor, DilatedInception, FullyConnected, Conv2D, LayerNormalization, AggregateTemporalNodeFeatures, GlobalGatedUpdater, MaskedSelfAttention, WeightedGCNBlock, A3TGCN2, AVWGCN, TGCN2, BatchedDCRNN, GCLSTM, MPNNLSTM, EvolveGCNO, LRGCN, GConvLSTM, GConvGRU, BatchedDConv, GCNConv_Fixed_W, DCRNN, AGCRN, EvolveGCNH, TGCN, DConv, A3TGCN, K, bias, in_channels, out_channels, normalization, num_bases, num_relations, conv_aggr, conv_num_layers, conv_out_channels, lstm_num_layers, lstm_out_channels, add_self_loops, cached, improved, initial_weight, normalize, num_of_nodes, reinitialize_weight, reset_parameters, weight, batch_size, periods, dropout, hidden_size, num_nodes, window, number_of_nodes, bias_pool, weights_pool, hidden_channels, A, attention, edge_index, gcn1, graph, relu, tcn1, kernel_size, conv_1, conv_2, conv_3, nb_time_filter, adaptive, bn, conv_d, in_c, inter_c, num_jpts, num_subset, out_c, sigmoid, soft, tan, conv, embedding_dimensions, Wq, global_gated_updater, item_embedding, item_embedding_dim, items_total, masked_self_attention, stacked_gcn, in_channels_dict, meta

.. autoapimodule:: torch_geometric_temporal.nn.recurrent.evolvegcnh
	:members:
	:exclude-members: SpatialAttention, TemporalAttention, Conv2D, FullyConnected, Linear, GraphConstructor, DilatedInception, FullyConnected, Conv2D, LayerNormalization, AggregateTemporalNodeFeatures, GlobalGatedUpdater, MaskedSelfAttention, WeightedGCNBlock, DyGrEncoder, A3TGCN2, AVWGCN, TGCN2, BatchedDCRNN, GCLSTM, MPNNLSTM, EvolveGCNO, LRGCN, GConvLSTM, GConvGRU, BatchedDConv, GCNConv_Fixed_W, DCRNN, AGCRN, TGCN, DConv, A3TGCN, K, bias, in_channels, out_channels, normalization, num_bases, num_relations, conv_aggr, conv_num_layers, conv_out_channels, lstm_num_layers, lstm_out_channels, add_self_loops, cached, improved, initial_weight, normalize, num_of_nodes, reinitialize_weight, reset_parameters, weight, batch_size, periods, dropout, hidden_size, num_nodes, window, number_of_nodes, bias_pool, weights_pool, hidden_channels, A, attention, edge_index, gcn1, graph, relu, tcn1, kernel_size, conv_1, conv_2, conv_3, nb_time_filter, adaptive, bn, conv_d, in_c, inter_c, num_jpts, num_subset, out_c, sigmoid, soft, tan, conv, embedding_dimensions, Wq, global_gated_updater, item_embedding, item_embedding_dim, items_total, masked_self_attention, stacked_gcn, in_channels_dict, meta

.. autoapimodule:: torch_geometric_temporal.nn.recurrent.evolvegcno
	:members:
	:exclude-members: SpatialAttention, TemporalAttention, Conv2D, FullyConnected, Linear, GraphConstructor, DilatedInception, FullyConnected, Conv2D, LayerNormalization, AggregateTemporalNodeFeatures, GlobalGatedUpdater, MaskedSelfAttention, WeightedGCNBlock, DyGrEncoder, A3TGCN2, AVWGCN, TGCN2, BatchedDCRNN, GCLSTM, MPNNLSTM, LRGCN, GConvLSTM, GConvGRU, BatchedDConv, DCRNN, AGCRN, EvolveGCNH, TGCN, DConv, A3TGCN, K, bias, in_channels, out_channels, normalization, num_bases, num_relations, conv_aggr, conv_num_layers, conv_out_channels, lstm_num_layers, lstm_out_channels, add_self_loops, cached, improved, initial_weight, normalize, num_of_nodes, reinitialize_weight, reset_parameters, weight, batch_size, periods, dropout, hidden_size, num_nodes, window, number_of_nodes, bias_pool, weights_pool, hidden_channels, A, attention, edge_index, gcn1, graph, relu, tcn1, kernel_size, conv_1, conv_2, conv_3, nb_time_filter, adaptive, bn, conv_d, in_c, inter_c, num_jpts, num_subset, out_c, sigmoid, soft, tan, conv, embedding_dimensions, Wq, global_gated_updater, item_embedding, item_embedding_dim, items_total, masked_self_attention, stacked_gcn, in_channels_dict, meta

.. autoapimodule:: torch_geometric_temporal.nn.recurrent.temporalgcn
	:members:
	:exclude-members: SpatialAttention, TemporalAttention, Conv2D, FullyConnected, Linear, GraphConstructor, DilatedInception, FullyConnected, Conv2D, LayerNormalization, AggregateTemporalNodeFeatures, GlobalGatedUpdater, MaskedSelfAttention, WeightedGCNBlock, DyGrEncoder, A3TGCN2, AVWGCN, BatchedDCRNN, GCLSTM, MPNNLSTM, EvolveGCNO, LRGCN, GConvLSTM, GConvGRU, BatchedDConv, GCNConv_Fixed_W, DCRNN, AGCRN, EvolveGCNH, DConv, A3TGCN, K, bias, in_channels, out_channels, normalization, num_bases, num_relations, conv_aggr, conv_num_layers, conv_out_channels, lstm_num_layers, lstm_out_channels, add_self_loops, cached, improved, initial_weight, normalize, num_of_nodes, reinitialize_weight, reset_parameters, weight, batch_size, periods, dropout, hidden_size, num_nodes, window, number_of_nodes, bias_pool, weights_pool, hidden_channels, A, attention, edge_index, gcn1, graph, relu, tcn1, kernel_size, conv_1, conv_2, conv_3, nb_time_filter, adaptive, bn, conv_d, in_c, inter_c, num_jpts, num_subset, out_c, sigmoid, soft, tan, conv, embedding_dimensions, Wq, global_gated_updater, item_embedding, item_embedding_dim, items_total, masked_self_attention, stacked_gcn, in_channels_dict, meta

.. autoapimodule:: torch_geometric_temporal.nn.recurrent.attentiontemporalgcn
	:members:
	:exclude-members: SpatialAttention, TemporalAttention, Conv2D, FullyConnected, Linear, GraphConstructor, DilatedInception, FullyConnected, Conv2D, LayerNormalization, AggregateTemporalNodeFeatures, GlobalGatedUpdater, MaskedSelfAttention, WeightedGCNBlock, DyGrEncoder, AVWGCN, TGCN2, BatchedDCRNN, GCLSTM, MPNNLSTM, EvolveGCNO, LRGCN, GConvLSTM, GConvGRU, BatchedDConv, GCNConv_Fixed_W, DCRNN, AGCRN, EvolveGCNH, TGCN, DConv, K, bias, in_channels, out_channels, normalization, num_bases, num_relations, conv_aggr, conv_num_layers, conv_out_channels, lstm_num_layers, lstm_out_channels, add_self_loops, cached, improved, initial_weight, normalize, num_of_nodes, reinitialize_weight, reset_parameters, weight, batch_size, periods, dropout, hidden_size, num_nodes, window, number_of_nodes, bias_pool, weights_pool, hidden_channels, A, attention, edge_index, gcn1, graph, relu, tcn1, kernel_size, conv_1, conv_2, conv_3, nb_time_filter, adaptive, bn, conv_d, in_c, inter_c, num_jpts, num_subset, out_c, sigmoid, soft, tan, conv, embedding_dimensions, Wq, global_gated_updater, item_embedding, item_embedding_dim, items_total, masked_self_attention, stacked_gcn, in_channels_dict, meta

.. autoapimodule:: torch_geometric_temporal.nn.recurrent.mpnn_lstm
	:members:
	:exclude-members: SpatialAttention, TemporalAttention, Conv2D, FullyConnected, Linear, GraphConstructor, DilatedInception, FullyConnected, Conv2D, LayerNormalization, AggregateTemporalNodeFeatures, GlobalGatedUpdater, MaskedSelfAttention, WeightedGCNBlock, DyGrEncoder, A3TGCN2, AVWGCN, TGCN2, BatchedDCRNN, GCLSTM, EvolveGCNO, LRGCN, GConvLSTM, GConvGRU, BatchedDConv, GCNConv_Fixed_W, DCRNN, AGCRN, EvolveGCNH, TGCN, DConv, A3TGCN, K, bias, in_channels, out_channels, normalization, num_bases, num_relations, conv_aggr, conv_num_layers, conv_out_channels, lstm_num_layers, lstm_out_channels, add_self_loops, cached, improved, initial_weight, normalize, num_of_nodes, reinitialize_weight, reset_parameters, weight, batch_size, periods, dropout, hidden_size, num_nodes, window, number_of_nodes, bias_pool, weights_pool, hidden_channels, A, attention, edge_index, gcn1, graph, relu, tcn1, kernel_size, conv_1, conv_2, conv_3, nb_time_filter, adaptive, bn, conv_d, in_c, inter_c, num_jpts, num_subset, out_c, sigmoid, soft, tan, conv, embedding_dimensions, Wq, global_gated_updater, item_embedding, item_embedding_dim, items_total, masked_self_attention, stacked_gcn, in_channels_dict, meta

.. autoapimodule:: torch_geometric_temporal.nn.recurrent.dcrnn
	:members:
	:exclude-members: SpatialAttention, TemporalAttention, Conv2D, FullyConnected, Linear, GraphConstructor, DilatedInception, FullyConnected, Conv2D, LayerNormalization, AggregateTemporalNodeFeatures, GlobalGatedUpdater, MaskedSelfAttention, WeightedGCNBlock, DyGrEncoder, A3TGCN2, AVWGCN, TGCN2, GCLSTM, MPNNLSTM, EvolveGCNO, LRGCN, GConvLSTM, GConvGRU, GCNConv_Fixed_W, AGCRN, EvolveGCNH, TGCN, A3TGCN, K, bias, in_channels, out_channels, normalization, num_bases, num_relations, conv_aggr, conv_num_layers, conv_out_channels, lstm_num_layers, lstm_out_channels, add_self_loops, cached, improved, initial_weight, normalize, num_of_nodes, reinitialize_weight, reset_parameters, weight, batch_size, periods, dropout, hidden_size, num_nodes, window, number_of_nodes, bias_pool, weights_pool, hidden_channels, A, attention, edge_index, gcn1, graph, relu, tcn1, kernel_size, conv_1, conv_2, conv_3, nb_time_filter, adaptive, bn, conv_d, in_c, inter_c, num_jpts, num_subset, out_c, sigmoid, soft, tan, conv, embedding_dimensions, Wq, global_gated_updater, item_embedding, item_embedding_dim, items_total, masked_self_attention, stacked_gcn, in_channels_dict, meta

.. autoapimodule:: torch_geometric_temporal.nn.recurrent.agcrn
	:members:
	:exclude-members: SpatialAttention, TemporalAttention, Conv2D, FullyConnected, Linear, GraphConstructor, DilatedInception, FullyConnected, Conv2D, LayerNormalization, AggregateTemporalNodeFeatures, GlobalGatedUpdater, MaskedSelfAttention, WeightedGCNBlock, DyGrEncoder, A3TGCN2, TGCN2, BatchedDCRNN, GCLSTM, MPNNLSTM, EvolveGCNO, LRGCN, GConvLSTM, GConvGRU, BatchedDConv, GCNConv_Fixed_W, DCRNN, EvolveGCNH, TGCN, DConv, A3TGCN, K, bias, in_channels, out_channels, normalization, num_bases, num_relations, conv_aggr, conv_num_layers, conv_out_channels, lstm_num_layers, lstm_out_channels, add_self_loops, cached, improved, initial_weight, normalize, num_of_nodes, reinitialize_weight, reset_parameters, weight, batch_size, periods, dropout, hidden_size, num_nodes, window, number_of_nodes, bias_pool, weights_pool, hidden_channels, A, attention, edge_index, gcn1, graph, relu, tcn1, kernel_size, conv_1, conv_2, conv_3, nb_time_filter, adaptive, bn, conv_d, in_c, inter_c, num_jpts, num_subset, out_c, sigmoid, soft, tan, conv, embedding_dimensions, Wq, global_gated_updater, item_embedding, item_embedding_dim, items_total, masked_self_attention, stacked_gcn, in_channels_dict, meta

Temporal Graph Attention Layers
--------------

.. autoapimodule:: torch_geometric_temporal.nn.attention.stgcn
	:members:
	:exclude-members: SpatialAttention, TemporalAttention, Conv2D, FullyConnected, Linear, GraphConstructor, DilatedInception, FullyConnected, Conv2D, LayerNormalization, AggregateTemporalNodeFeatures, GlobalGatedUpdater, MaskedSelfAttention, WeightedGCNBlock, GatedFusion, UnitTCN, UnitGCN, Linear, MTGNNLayer, MSTGCN, GraphConstructor, GMAN, DNNTSP, AggregateTemporalNodeFeatures, ASTGCN, TransformAttention, LayerNormalization, GraphAAGCN, SpatioTemporalEmbedding, MSTGCNBlock, Conv2D, AAGCN, MTGNN, MixProp, ASTGCNBlock, TemporalAttention, DilatedInception, SpatialAttention, MaskedSelfAttention, GlobalGatedUpdater, SpatioTemporalAttention, ChebConvAttention, FullyConnected, WeightedGCNBlock, K, bias, in_channels, out_channels, normalization, num_bases, num_relations, conv_aggr, conv_num_layers, conv_out_channels, lstm_num_layers, lstm_out_channels, add_self_loops, cached, improved, initial_weight, normalize, num_of_nodes, reinitialize_weight, reset_parameters, weight, batch_size, periods, dropout, hidden_size, num_nodes, window, number_of_nodes, bias_pool, weights_pool, hidden_channels, A, attention, edge_index, gcn1, graph, relu, tcn1, kernel_size, conv_1, conv_2, conv_3, nb_time_filter, adaptive, bn, conv_d, in_c, inter_c, num_jpts, num_subset, out_c, sigmoid, soft, tan, conv, embedding_dimensions, Wq, global_gated_updater, item_embedding, item_embedding_dim, items_total, masked_self_attention, stacked_gcn, in_channels_dict, meta

.. autoapimodule:: torch_geometric_temporal.nn.attention.astgcn
	:members:
	:exclude-members: SpatialAttention, TemporalAttention, Conv2D, FullyConnected, Linear, GraphConstructor, DilatedInception, FullyConnected, Conv2D, LayerNormalization, AggregateTemporalNodeFeatures, GlobalGatedUpdater, MaskedSelfAttention, WeightedGCNBlock, GatedFusion, UnitTCN, UnitGCN, Linear, MTGNNLayer, MSTGCN, GraphConstructor, TemporalConv, GMAN, DNNTSP, AggregateTemporalNodeFeatures, TransformAttention, LayerNormalization, GraphAAGCN, SpatioTemporalEmbedding, MSTGCNBlock, Conv2D, AAGCN, MTGNN, MixProp, DilatedInception, MaskedSelfAttention, GlobalGatedUpdater, STConv, SpatioTemporalAttention, FullyConnected, WeightedGCNBlock, K, bias, in_channels, out_channels, normalization, num_bases, num_relations, conv_aggr, conv_num_layers, conv_out_channels, lstm_num_layers, lstm_out_channels, add_self_loops, cached, improved, initial_weight, normalize, num_of_nodes, reinitialize_weight, reset_parameters, weight, batch_size, periods, dropout, hidden_size, num_nodes, window, number_of_nodes, bias_pool, weights_pool, hidden_channels, A, attention, edge_index, gcn1, graph, relu, tcn1, kernel_size, conv_1, conv_2, conv_3, nb_time_filter, adaptive, bn, conv_d, in_c, inter_c, num_jpts, num_subset, out_c, sigmoid, soft, tan, conv, embedding_dimensions, Wq, global_gated_updater, item_embedding, item_embedding_dim, items_total, masked_self_attention, stacked_gcn, in_channels_dict, meta

.. autoapimodule:: torch_geometric_temporal.nn.attention.mstgcn
	:members:
	:exclude-members: SpatialAttention, TemporalAttention, Conv2D, FullyConnected, Linear, GraphConstructor, DilatedInception, FullyConnected, Conv2D, LayerNormalization, AggregateTemporalNodeFeatures, GlobalGatedUpdater, MaskedSelfAttention, WeightedGCNBlock, GatedFusion, UnitTCN, UnitGCN, Linear, MTGNNLayer, GraphConstructor, TemporalConv, GMAN, DNNTSP, AggregateTemporalNodeFeatures, ASTGCN, TransformAttention, LayerNormalization, GraphAAGCN, SpatioTemporalEmbedding, Conv2D, AAGCN, MTGNN, MixProp, ASTGCNBlock, TemporalAttention, DilatedInception, SpatialAttention, MaskedSelfAttention, GlobalGatedUpdater, STConv, SpatioTemporalAttention, ChebConvAttention, FullyConnected, WeightedGCNBlock, K, bias, in_channels, out_channels, normalization, num_bases, num_relations, conv_aggr, conv_num_layers, conv_out_channels, lstm_num_layers, lstm_out_channels, add_self_loops, cached, improved, initial_weight, normalize, num_of_nodes, reinitialize_weight, reset_parameters, weight, batch_size, periods, dropout, hidden_size, num_nodes, window, number_of_nodes, bias_pool, weights_pool, hidden_channels, A, attention, edge_index, gcn1, graph, relu, tcn1, kernel_size, conv_1, conv_2, conv_3, nb_time_filter, adaptive, bn, conv_d, in_c, inter_c, num_jpts, num_subset, out_c, sigmoid, soft, tan, conv, embedding_dimensions, Wq, global_gated_updater, item_embedding, item_embedding_dim, items_total, masked_self_attention, stacked_gcn, in_channels_dict, meta

.. autoapimodule:: torch_geometric_temporal.nn.attention.gman
	:members:
	:exclude-members: SpatialAttention, TemporalAttention, Conv2D, FullyConnected, Linear, GraphConstructor, DilatedInception, FullyConnected, Conv2D, LayerNormalization, AggregateTemporalNodeFeatures, GlobalGatedUpdater, MaskedSelfAttention, WeightedGCNBlock, UnitTCN, UnitGCN, Linear, MTGNNLayer, MSTGCN, GraphConstructor, TemporalConv, DNNTSP, AggregateTemporalNodeFeatures, ASTGCN, LayerNormalization, GraphAAGCN, MSTGCNBlock, AAGCN, MTGNN, MixProp, ASTGCNBlock, DilatedInception, MaskedSelfAttention, GlobalGatedUpdater, STConv, ChebConvAttention, WeightedGCNBlock, K, bias, in_channels, out_channels, normalization, num_bases, num_relations, conv_aggr, conv_num_layers, conv_out_channels, lstm_num_layers, lstm_out_channels, add_self_loops, cached, improved, initial_weight, normalize, num_of_nodes, reinitialize_weight, reset_parameters, weight, batch_size, periods, dropout, hidden_size, num_nodes, window, number_of_nodes, bias_pool, weights_pool, hidden_channels, A, attention, edge_index, gcn1, graph, relu, tcn1, kernel_size, conv_1, conv_2, conv_3, nb_time_filter, adaptive, bn, conv_d, in_c, inter_c, num_jpts, num_subset, out_c, sigmoid, soft, tan, conv, embedding_dimensions, Wq, global_gated_updater, item_embedding, item_embedding_dim, items_total, masked_self_attention, stacked_gcn, in_channels_dict, meta

.. autoapimodule:: torch_geometric_temporal.nn.attention.mtgnn
	:members:
	:exclude-members: SpatialAttention, TemporalAttention, Conv2D, FullyConnected, Linear, GraphConstructor, DilatedInception, FullyConnected, Conv2D, LayerNormalization, AggregateTemporalNodeFeatures, GlobalGatedUpdater, MaskedSelfAttention, WeightedGCNBlock, GatedFusion, UnitTCN, UnitGCN, MSTGCN, TemporalConv, GMAN, DNNTSP, AggregateTemporalNodeFeatures, ASTGCN, TransformAttention, GraphAAGCN, SpatioTemporalEmbedding, MSTGCNBlock, Conv2D, AAGCN, ASTGCNBlock, TemporalAttention, SpatialAttention, MaskedSelfAttention, GlobalGatedUpdater, STConv, SpatioTemporalAttention, ChebConvAttention, FullyConnected, WeightedGCNBlock, K, bias, in_channels, out_channels, normalization, num_bases, num_relations, conv_aggr, conv_num_layers, conv_out_channels, lstm_num_layers, lstm_out_channels, add_self_loops, cached, improved, initial_weight, normalize, num_of_nodes, reinitialize_weight, reset_parameters, weight, batch_size, periods, dropout, hidden_size, num_nodes, window, number_of_nodes, bias_pool, weights_pool, hidden_channels, A, attention, edge_index, gcn1, graph, relu, tcn1, kernel_size, conv_1, conv_2, conv_3, nb_time_filter, adaptive, bn, conv_d, in_c, inter_c, num_jpts, num_subset, out_c, sigmoid, soft, tan, conv, embedding_dimensions, Wq, global_gated_updater, item_embedding, item_embedding_dim, items_total, masked_self_attention, stacked_gcn, in_channels_dict, meta

.. autoapimodule:: torch_geometric_temporal.nn.attention.tsagcn
	:members:
	:exclude-members: SpatialAttention, TemporalAttention, Conv2D, FullyConnected, Linear, GraphConstructor, DilatedInception, FullyConnected, Conv2D, LayerNormalization, AggregateTemporalNodeFeatures, GlobalGatedUpdater, MaskedSelfAttention, WeightedGCNBlock, GatedFusion, Linear, MTGNNLayer, MSTGCN, GraphConstructor, TemporalConv, GMAN, DNNTSP, AggregateTemporalNodeFeatures, ASTGCN, TransformAttention, LayerNormalization, SpatioTemporalEmbedding, MSTGCNBlock, Conv2D, MTGNN, MixProp, ASTGCNBlock, TemporalAttention, DilatedInception, SpatialAttention, MaskedSelfAttention, GlobalGatedUpdater, STConv, SpatioTemporalAttention, ChebConvAttention, FullyConnected, WeightedGCNBlock, K, bias, in_channels, out_channels, normalization, num_bases, num_relations, conv_aggr, conv_num_layers, conv_out_channels, lstm_num_layers, lstm_out_channels, add_self_loops, cached, improved, initial_weight, normalize, num_of_nodes, reinitialize_weight, reset_parameters, weight, batch_size, periods, dropout, hidden_size, num_nodes, window, number_of_nodes, bias_pool, weights_pool, hidden_channels, A, attention, edge_index, gcn1, graph, relu, tcn1, kernel_size, conv_1, conv_2, conv_3, nb_time_filter, adaptive, bn, conv_d, in_c, inter_c, num_jpts, num_subset, out_c, sigmoid, soft, tan, conv, embedding_dimensions, Wq, global_gated_updater, item_embedding, item_embedding_dim, items_total, masked_self_attention, stacked_gcn, in_channels_dict, meta

.. autoapimodule:: torch_geometric_temporal.nn.attention.dnntsp
	:members:
	:exclude-members: SpatialAttention, TemporalAttention, Conv2D, FullyConnected, Linear, GraphConstructor, DilatedInception, FullyConnected, Conv2D, LayerNormalization, AggregateTemporalNodeFeatures, GlobalGatedUpdater, MaskedSelfAttention, WeightedGCNBlock, GatedFusion, UnitTCN, UnitGCN, Linear, MTGNNLayer, MSTGCN, GraphConstructor, TemporalConv, GMAN, ASTGCN, TransformAttention, LayerNormalization, GraphAAGCN, SpatioTemporalEmbedding, MSTGCNBlock, Conv2D, AAGCN, MTGNN, MixProp, ASTGCNBlock, TemporalAttention, DilatedInception, SpatialAttention, STConv, SpatioTemporalAttention, ChebConvAttention, FullyConnected, K, bias, in_channels, out_channels, normalization, num_bases, num_relations, conv_aggr, conv_num_layers, conv_out_channels, lstm_num_layers, lstm_out_channels, add_self_loops, cached, improved, initial_weight, normalize, num_of_nodes, reinitialize_weight, reset_parameters, weight, batch_size, periods, dropout, hidden_size, num_nodes, window, number_of_nodes, bias_pool, weights_pool, hidden_channels, A, attention, edge_index, gcn1, graph, relu, tcn1, kernel_size, conv_1, conv_2, conv_3, nb_time_filter, adaptive, bn, conv_d, in_c, inter_c, num_jpts, num_subset, out_c, sigmoid, soft, tan, conv, embedding_dimensions, Wq, global_gated_updater, item_embedding, item_embedding_dim, items_total, masked_self_attention, stacked_gcn, in_channels_dict, meta


Heterogeneous Graph Convolutional Layers
--------------

.. autoapimodule:: torch_geometric_temporal.nn.hetero.heterogclstm
	:members:
	:exclude-members: SpatialAttention, TemporalAttention, Conv2D, FullyConnected, Linear, GraphConstructor, DilatedInception, FullyConnected, Conv2D, LayerNormalization, AggregateTemporalNodeFeatures, GlobalGatedUpdater, MaskedSelfAttention, WeightedGCNBlock, , K, bias, in_channels, out_channels, normalization, num_bases, num_relations, conv_aggr, conv_num_layers, conv_out_channels, lstm_num_layers, lstm_out_channels, add_self_loops, cached, improved, initial_weight, normalize, num_of_nodes, reinitialize_weight, reset_parameters, weight, batch_size, periods, dropout, hidden_size, num_nodes, window, number_of_nodes, bias_pool, weights_pool, hidden_channels, A, attention, edge_index, gcn1, graph, relu, tcn1, kernel_size, conv_1, conv_2, conv_3, nb_time_filter, adaptive, bn, conv_d, in_c, inter_c, num_jpts, num_subset, out_c, sigmoid, soft, tan, conv, embedding_dimensions, Wq, global_gated_updater, item_embedding, item_embedding_dim, items_total, masked_self_attention, stacked_gcn, in_channels_dict, meta