Deep Insights into Graph Adversarial Learning: An Empirical Study Perspective. - Jintang Li; Zishan Gu; Qibiao Peng; Kun Xu 010; Liang Chen 001; Zibin Zheng (HBAI@IJCAI, 2020)

A Survey of Adversarial Learning on Graphs. - Liang Chen 001; Jintang Li; Jiaying Peng; Tao Xie; Zengxu Cao; Kun Xu 010; Xiangnan He 001; Zibin Zheng (CoRR, 2020)

Expanding Relationship for Cross Domain Recommendation. - Kun Xu 010; Yuanzhen Xie; Liang Chen 001; Zibin Zheng (CIKM, 2021)

GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software. - Jintang Li; Kun Xu 010; Liang Chen 001; Zibin Zheng; Xiao Liu 004 (ICSE (Companion Volume), 2021)

Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network. - Yuanzhen Xie; Zijing Ou; Liang Chen 001; Yang Liu 245; Kun Xu 010; Carl Yang 001; Zibin Zheng (WSDM, 2021)

FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation. - Yuansheng Wang; Wangbin Sun; Kun Xu 010; Zulun Zhu; Liang Chen 001; Zibin Zheng (CoRR, 2022)

A Review-Level Sentiment Information Enhanced Multitask Learning Approach for Explainable Recommendation. - Fenfang Xie; Yuansheng Wang; Kun Xu 010; Liang Chen 001; Zibin Zheng; Mingdong Tang (IEEE Trans. Comput. Soc. Syst., 2024)