Machine Learning, Graph Convolution, Surveys, Deep Learn.
different from Graph Autoencoder in that Graph Generative Networks learn info about input data to create new data while Graph Autoencoder learn about input date to create low-representation of the input data. It generate graphs given a graph empirical distribution. However, it is a difficult task