GLASS framework for graph-level anomaly detection
GLASS enables zero-shot anomaly detection and few-shot adaptation without target-domain training data, making it valuable for real-world applications with limited labeled data.
GLASS enables zero-shot anomaly detection and few-shot adaptation without target-domain training data, making it valuable for real-world applications with limited labeled data.