DeNoise: Learning Robust Graph Representations for Unsupervised Graph-Level Anomaly Detection.

arXiv:2511.04086v2 Announce Type: replace-cross Abstract: With the rapid growth of graph-structured data in critical domains, unsupervised graph-level anomaly detection (UGAD) has become a pivotal task. UGAD seeks to identify entire graphs that deviate from no