graph autoencoder

Learning Graph Embedding With Adversarial Training Methods

Graph embedding aims to transfer a graph into vectors to facilitate subsequent graph-analytics tasks like link prediction and graph …

Shirui Pan, Ruiqi Hu, Sai Fu Fung, Guodong Long, Jing Jiang, Chengqi Zhang

MGAE: marginalized graph autoencoder for graph clustering

Graph clustering aims to discover community structures in networks, the task being fundamentally challenging mainly because the …

Chun Wang, Shirui Pan, Guodong Long, Xingquan Zhu, Jing Jiang