About
Contact & Profiles
A5059180707
Research Areas
- Complex Network Analysis Techniques
- Advanced Graph Neural Networks
- Anomaly Detection Techniques and Applications
Tianjin University
2023
As many real-world networks evolve over time, such as social networks, user-item and IP-IP anomaly detection for dynamic graphs has attracted growing attention. Most existing studies focus on detecting anomalous nodes or edges but fail to detect motif instances. In this paper, we propose MADG, a general Motif-level Anomaly Detection framework Graphs, which can identify the in different motifs. Motifs are specific subgraph structures that frequently occur network have been widely used...
10.1109/tifs.2023.3272731
article
EN
IEEE Transactions on Information Forensics and Security
2023-01-01
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