Hongdou Dong — accepted AI-conference papers

2025

Dual Encoder Contrastive Learning with Augmented Views for Graph Anomaly Detection

Nannan Wu, Hongdou Dong, Wenjun Wang, Yiming Zhao

IJCAI 2025

Graph anomaly detection (GAD), which aims to identify patterns that deviate significantly from normal nodes in attributed networks, is widely used in financial fraud, cybersecurity, and bioinformatics. The paradigms of jointly optimizing contrastive learning and reconstruction learning have shown si

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2025

Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs

Nannan Wu, Yazheng Zhao, Hongdou Dong, Keao Xi, Wei Yu, Wenjun Wang

AAAI 2025technical

Anomaly detection on attributed graphs has applications in various domains such as finance and email spam detection, thus gaining substantial attention. Distributed scenarios can also involve issues related to anomaly detection in attribute graphs, such as in medical scenarios. However, most of the…

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