most citedCVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-level Anomaly Detection

9 citations · 9 across the 1 of their papers we have counts for

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1 paper

cs.LG2024★ 9 cited

CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-level Anomaly Detection

Jindong Li, Qianli Xing, Qi Wang +1

Unsupervised graph-level anomaly detection (UGAD) has received remarkable performance in various critical disciplines, such as chemistry analysis and bioinformatics. Existing UGAD…