CRoC refactors node contexts and uses contrastive learning to improve graph anomaly detection under limited labels, reporting up to 14% AUC gains on seven datasets.
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CRoC: Context Refactoring Contrast for Graph Anomaly Detection with Limited Supervision
CRoC refactors node contexts and uses contrastive learning to improve graph anomaly detection under limited labels, reporting up to 14% AUC gains on seven datasets.