2019
Conditional Structure Generation through Graph Variational Generative Adversarial Nets
NeurIPS 2019poster
Graph embedding has been intensively studied recently, due to the advance of various neural network models. Theoretical analyses and empirical studies have pushed forward the translation of discrete graph structures into distributed representation vectors, but seldom considered the reverse direction…