GraphNC

New framework calibrates graph anomaly detection using labeled and unlabeled data

Researchers have developed a new framework called GraphNC to improve semi-supervised graph anomaly detection. This method calibrates normality by leveraging both labeled and unlabeled data, using a teacher model to guid…