Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics. - Ge Zhang 002; Di Jin 001; Jian Gao; Pengfei Jiao; Françoise Fogelman-Soulié; Xin Huang 001 (IJCAI, 2018)

Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics. - Di Jin 001; Kunzeng Wang; Ge Zhang 002; Pengfei Jiao; Dongxiao He; Françoise Fogelman-Soulié; Xin Huang 001 (IEEE Trans. Knowl. Data Eng., 2020)

FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance. - Ge Zhang 002; Jia Wu 001; Jian Yang 001; Amin Beheshti; Shan Xue 001; Chuan Zhou 001; Quan Z. Sheng (ICDM, 2021)

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection. - Ge Zhang 002; Zhenyu Yang 004; Jia Wu 001; Jian Yang 001; Shan Xue 001; Hao Peng 001; Jianlin Su; Chuan Zhou 001; Quan Z. Sheng; Leman Akoglu; Charu C. Aggarwal (NeurIPS, 2022)

Graph-level Neural Networks: Current Progress and Future Directions. - Ge Zhang 002; Jia Wu 001; Jian Yang 001; Shan Xue 001; Wenbin Hu 001; Chuan Zhou 001; Hao Peng 001; Quan Z. Sheng; Charu Aggarwal 001 (CoRR, 2022)

eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks. - Ge Zhang 002; Zhao Li 007; Jiaming Huang; Jia Wu 001; Chuan Zhou 001; Jian Yang 001; Jianliang Gao (ACM Trans. Inf. Syst., 2022)

Minimum Entropy Principle Guided Graph Neural Networks. - Zhenyu Yang 004; Ge Zhang 002; Jia Wu 001; Jian Yang 001; Quan Z. Sheng; Hao Peng 001; Angsheng Li; Shan Xue 001; Jianlin Su (WSDM, 2023)

A Comprehensive Survey of Graph-level Learning. - Zhenyu Yang 004; Ge Zhang 002; Jia Wu 001; Jian Yang 001; Quan Z. Sheng; Shan Xue 001; Chuan Zhou 001; Charu C. Aggarwal; Hao Peng 001; Wenbin Hu 001; Edwin R. Hancock; Pietro Liò (CoRR, 2023)

CINA: Curvature-Based Integrated Network Alignment with Hypergraph. - Pengfei Jiao; Yuanqi Liu; Yinghui Wang; Ge Zhang 002 (ICDE, 2024)

Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation. - Xixun Lin; Yanan Cao 001; Nan Sun; Lixin Zou; Chuan Zhou 001; Peng Zhang 001; Shuai Zhang; Ge Zhang 002; Jia Wu 001 (WWW, 2025)

State of the Art and Potentialities of Graph-level Learning. - Zhenyu Yang 004; Ge Zhang 002; Jia Wu 001; Jian Yang 001; Quan Z. Sheng; Shan Xue 001; Chuan Zhou 001; Charu Aggarwal 001; Hao Peng 001; Wenbin Hu 001; Edwin R. Hancock; Pietro Liò (ACM Comput. Surv., 2025)