Hu Jin

According to our database, Hu Jin authored at least 5 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

SAMCL: Subgraph-Aligned Multiview Contrastive Learning for Graph Anomaly Detection.

Jingtao Hu, Bin Xiao, Hu Jin, Jingcan Duan, Siwei Wang, Zhao Lv, Siqi Wang, Xinwang Liu, En Zhu

IEEE Trans. Neural Networks Learn. Syst., January, 2025

Higher-order Enhanced Contrastive-based Graph Anomaly Detection Without Graph Augmentation.

Jingtao Hu, Siwei Wang, Jingcan Duan, Hu Jin, Xinwang Liu, En Zhu

Pattern Recognit., 2025

2023

Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning.

Jingcan Duan, Pei Zhang, Siwei Wang, Jingtao Hu, Hu Jin, Jiaxin Zhang, Haifang Zhou, Xinwang Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View.

Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

GADMSL: Graph Anomaly Detection on Attributed Networks via Multi-scale Substructure Learning.

Jingcan Duan, Siwei Wang, Xinwang Liu, Haifang Zhou, Jingtao Hu, Hu Jin

CoRR, 2022