2025
Graph Anomaly Detection via Multi-Scale Reconstruction of Graph Encoder-Decoder Networks
ICASSP 2025accepted
Existing unsupervised graph anomaly detection (GAD) methods can be categorized into reconstruction based methods and contrastive learning based methods. The principle of reconstruction methods is to capture anomalous nodes based on data reconstruction errors. However, existing reconstruction methods…