A systematic taxonomy of generalization in graph anomaly detection, spanning transfer learning and foundation models, with an up-to-date review and future directions.
Towards self-interpretable graph-level anomaly detection
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.