Machine Learning, Artificial Intelligence, Graph Neural Networks, Deep Learning, Data Science.
feature matrix of node i. The architecture of the Encoder and Decoder Figure 10: The architecture of the variational graph autoencoder The encoder (inference model) of VGAE consists of graph convolutional networks (GCNs). It takes an adjacency matrix A and a feature matrix X as inputs and generates