Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum

no code implementations • 11 Dec 2023 • Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Xibin Zhao, Hai Wan

This detector includes a hybrid filtering module and a local environmental constraint module, the two modules are utilized to solve heterophily and label utilization problem respectively.

Binary Classification Fraud Detection

Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection

no code implementations • 17 Nov 2023 • Fan Xu, Nan Wang, Xuezhi Wen, Meiqi Gao, Chaoqun Guo, Xibin Zhao

Graph anomaly detection plays a crucial role in identifying exceptional instances in graph data that deviate significantly from the majority.

Contrastive Learning Graph Anomaly Detection

TBDetector:Transformer-Based Detector for Advanced Persistent Threats with Provenance Graph

no code implementations • 6 Apr 2023 • Nan Wang, Xuezhi Wen, Dalin Zhang, Xibin Zhao, Jiahui Ma, Mengxia Luo, Sen Nie, Shi Wu, Jiqiang Liu

APT detection is difficult to detect due to the long-term latency, covert and slow multistage attack patterns of Advanced Persistent Threat (APT).