Author

Hao Yin

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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.

Yazheng Zhao, Nannan Wu, Hao Yin et al. · 0 citations