Seonglae ChoTemporal graphs anomaly emergence detection: benchmarking for social media interactions
Applied Intelligence - Temporal graphs have become an essential tool for analyzing complex dynamic systems with multiple agents. Detecting anomalies in temporal graphs is crucial for various...
https://link.springer.com/article/10.1007/s10489-024-05821-3
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs | Proceedings of the 30th ACM International Conference on Information & Knowledge Management
The advantage of graph-based anomaly detection is that the relationships between elements can be analyzed for structural oddities that could represent activities such as fraud, network intrusions, or suspicious associations in a social network. ...
https://dl.acm.org/doi/10.1145/3459637.3481955
arxiv.org
https://arxiv.org/pdf/2404.00060