Overview of Generative Adversarial Networks (GAN) in Graph Networks
Background Introduction The main purpose of Graph Representation Learning (Graph Representation Learning, Network Embedding, Graph Embedding) is to map each node in the graph to a low-dimensional vector space, preserving the original structure and distance information of the graph. Intuitively, two points that are close together in the graph should also be close together in … Read more