Reconciling Attribute and Structural Anomalies for Improved Graph Anomaly Detection
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DOI: 10.1109/tnnls.2025.3561172
Abstract: Graph anomaly detection is critical in domains such as healthcare and economics, where identifying deviations can prevent substantial losses. Existing unsupervised approaches strive to learn a single model capable of detecting both attribute and structural… read more here.
Keywords: structural anomalies; graph anomaly; anomaly detection; reconciling attribute ... See more keywords