Balanced Anomaly-guided Ego-graph Diffusion Model for Inductive Graph Anomaly Detection
Balanced Anomaly-guided Ego-graph Diffusion Model for Inductive Graph Anomaly Detection explores A dynamic graph anomaly detection model designed to improve generalization in fraud and cybersecurity applications by synthesizing balanced anomaly patterns.. Commercial viability score: 5/10 in Graph Anomaly Detection.
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