1、Deep Learning on Graphs: A Survey(2018年12月11日) Ziwei Zhang, Peng Cui, Wenwu Zhu(清华) https://arxiv.org/abs/1812.04202 半监督方法:图神经网络(GNN)和图卷积网络(GCN) 无监督方法:主要有图自编码器(GAE) 最近的进展:图递归神经网络和图强化学习

2、Graph Neural Networks: A Review of Methods and Applications(2018年12月20日) Jie Zhou, Ganqu Cui, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun(清华大学) https://arxiv.org/abs/1812.08434

3、Relational inductive bias for physical construction in humans and machines(2018年6月4日) Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Joshua B. Tenenbaum, Peter W. Battaglia 提出GNblock框架

4、A Comprehensive Survey on Graph Neural Networks(2019年1月3日) Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S. Yu