A Comprehensive Survey on Deep Graph Representation Learning

Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, Ming Zhang

Abstract: Highlights•We conduct a comprehensive survey on deep graph representation learning algorithms.•We propose a new taxonomy of existing state-of-the-art literature.•This survey provides the practical and promising applications.•We state new perspectives and suggest challenging directions.