ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection

1 code implementation • 22 Dec 2023 • Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Qingming Huang

We pretrain graph autoencoders on these augmented graphs at multiple levels, which enables the graph autoencoders to capture normal patterns.

Fraud Detection Graph Anomaly Detection