A systematic taxonomy of generalization in graph anomaly detection, spanning transfer learning and foundation models, with an up-to-date review and future directions.
Goodat: towards test-time graph out-of- distribution detection
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A Survey of Generalization of Graph Anomaly Detection: From Transfer Learning to Foundation Models
A systematic taxonomy of generalization in graph anomaly detection, spanning transfer learning and foundation models, with an up-to-date review and future directions.