Conference
Open access
Sep 2026
Graph Anomaly Detection via Feature Selection with Local Topological Residuals
LTRGAD is proposed, a two-stage GAD framework that performs feature selection based on local feature-topological residuals (LTR) and effectively introduces topological information while preserving the original local anomalous patterns, enabling more accurate local anomaly detection.
Ya-Zheng Zhao, Nan-Nan Wu, Hao Yin et al.
· Proceedings of the Thirty-Fi... · 0 citations