2024
Anomaly Subgraph Detection through High-Order Sampling Contrastive Learning
IJCAI 2024poster
Anomaly subgraph detection is a crucial task in various real-world applications, including identifying high-risk areas, detecting river pollution, and monitoring disease outbreaks. Early traditional graph-based methods can obtain high-precision detection results in scenes with small-scale graphs and…