Machine Learning, Graph Convolution, Surveys, Deep Learn.
as network embedding. Graph Auto-encoders are unsupervised. It aims to learn low dimensional node vector via an encoder, and then reconstruct the graph data via a decoder. Graph Auto-encoders are popular to be used to learn plains graphs with out attribute information. For attributed graphs, it