Graph convolutional layers
Keras Graph Convolutional Network
Graph convolutional layers.
pip install keras-gcn
import keras from keras_gru import GraphConv DATA_DIM = 3 data_layer = keras.layers.Input(shape=(None, DATA_DIM)) edge_layer = keras.layers.Input(shape=(None, None)) conv_layer = GraphConv( units=32, step_num=1, )([data_layer, edge_layer])
step_num is the maximum distance of two nodes that could be considered as neighbors. If
step_num is greater than 1, then the inputs of edges must be 0-1 matrices.
Pooling layers with the
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