├── .gitattributes ├── LICENSE ├── README.md ├── docs ├── Filters │ └── graph_conv_filters.md ├── Layers │ ├── Attention │ │ └── graph_attention_layer.md │ ├── Convolution │ │ └── graph_conv_layer.md │ ├── Graph Capsule Neural Network │ │ └── graph_capsule_cnn.md │ ├── Graph Neural Network │ │ └── graph_neural_networks.md │ └── Recurrent │ │ └── graph_conv_recurrent_layer.md ├── about.md └── index.md ├── examples ├── data │ ├── A_edge_matrices_mutag.csv │ ├── A_mutag.csv │ ├── G_enzymes.mat │ ├── G_enzymes_node_labels.mat │ ├── G_imdb_binary.mat │ ├── G_mutag.mat │ ├── G_nci1.mat │ ├── G_nci109.mat │ ├── G_nci1_node_labels.mat │ ├── G_ptc.mat │ ├── X_mutag.csv │ ├── Y_enzymes.mat │ ├── Y_imdb_binary.mat │ ├── Y_mutag.csv │ ├── Y_mutag.mat │ ├── Y_nci1.mat │ ├── Y_nci109.mat │ ├── Y_ptc.mat │ └── cora │ │ ├── README │ │ ├── cora.cites │ │ └── cora.content ├── gcnn_node_classification_example.py ├── gcnn_node_classification_with_edge_features_example.py ├── graph_attention_cnn_node_classification_example.py ├── multi_gcnn_graph_classification_example.py ├── multi_gcnn_graph_classification_with_edge_features_example.py ├── multi_graph_attention_cnn_graph_classification_example.py └── utils.py ├── keras_dgl ├── __init__.py └── layers │ ├── __init__.py │ ├── graph_attention_cnn_layer.py │ ├── graph_cnn_layer.py │ ├── graph_convolutional_recurrent_layer.py │ ├── graph_ops.py │ ├── multi_graph_attention_cnn_layer.py │ └── multi_graph_cnn_layer.py ├── mkdocs.yml └── site ├── 404.html ├── Filters └── graph_conv_filters │ └── index.html ├── Layers ├── Attention │ └── graph_attention_layer │ │ └── index.html ├── Convolution │ └── graph_conv_layer │ │ └── index.html ├── Graph Capsule Neural Network │ └── graph_capsule_cnn │ │ └── index.html ├── Graph Neural Network │ └── graph_neural_networks │ │ └── index.html └── Recurrent │ └── graph_conv_recurrent_layer │ └── index.html ├── about └── index.html ├── css ├── highlight.css ├── 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