Machine Learning, Artificial Intelligence, Graph Neural Networks, Deep Learning, Data Science.
sigmoid function. In summary, the encoder is represented as and the decoder is represented as Loss Function The loss function for variational graph autoencoder is pretty much the same as before. The first part is the reconstruction loss between the input adjacency matrix and the reconstructed