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cs.LG2025
CRC-SGAD: Conformal Risk Control for Supervised Graph Anomaly Detection
Songran Bai, Xiaolong Zheng, Daniel Dajun Zeng
Graph Anomaly Detection (GAD) is critical in security-sensitive domains, yet faces reliability challenges: miscalibrated confidence estimation (underconfidence in normal nodes, ove…
cs.LG2025
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution
Songran Bai, Yuheng Ji, Yue Liu +3
Spatiotemporal Graph Learning (SGL) under Zero-Inflated Distribution (ZID) is crucial for urban risk management tasks, including crime prediction and traffic accident profiling. Ho…