GADMSL: Graph Anomaly Detection on Attributed Networks via Multi-scale Substructure Learning. - Jingcan Duan; Siwei Wang 001; Xinwang Liu 002; Haifang Zhou; Jingtao Hu; Hu Jin (CoRR, 2022)

Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. - Jingcan Duan; Siwei Wang 001; Pei Zhang 008; En Zhu; Jingtao Hu; Hu Jin; Yue Liu 008; Zhibin Dong (AAAI, 2023)

Hard Sample Aware Network for Contrastive Deep Graph Clustering. - Yue Liu 008; Xihong Yang; Sihang Zhou 001; Xinwang Liu 002; Zhen Wang; Ke Liang 006; Wenxuan Tu; Liang Li; Jingcan Duan; Cancan Chen (AAAI, 2023)

Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning. - Jingcan Duan; Pei Zhang 008; Siwei Wang 001; Jingtao Hu; Hu Jin; Jiaxin Zhang 030; Haifang Zhou; Xinwang Liu 002 (ACM Multimedia, 2023)

ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness. - Jingcan Duan; Bin Xiao 002; Siwei Wang 001; Haifang Zhou; Xinwang Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Higher-order Enhanced Contrastive-based Graph Anomaly Detection Without Graph Augmentation. - Jingtao Hu; Siwei Wang 001; Jingcan Duan; Hu Jin; Xinwang Liu 002; En Zhu (Pattern Recognit., 2025)

SAMCL: Subgraph-Aligned Multiview Contrastive Learning for Graph Anomaly Detection. - Jingtao Hu; Bin Xiao 002; Hu Jin; Jingcan Duan; Siwei Wang 001; Zhao Lv; Siqi Wang 001; Xinwang Liu 002; En Zhu (IEEE Trans. Neural Networks Learn. Syst., 2025)