Machine Learning, Graph Convolution, Surveys, Deep Learn.
preserving both network topology (shape of the graph)structure, and content of each node ( information that each node carries). Vectors produced by network embedding will then get fed for tasks, such as classification, clustering, and recommendation using any machine learning technique available.