Search Results for author:
Found 1 papers, 0 papers with code
Revisiting Graph Contrastive Learning for Anomaly Detection
In the paper, we delve into the misconception and propose Multi-GNN and Augmented Graph contrastive framework MAG, which unified the existing GCAD methods in the contrastive self-supervised perspective.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
