1️⃣ AnomalyGFM is the first GAD-oriented GFM with strong zero-shot and few-shot generalization abilities.
2️⃣ A comprehensive benchmark on both zero-shot and few-shot settings using 11 real-world GAD datasets is established, on which i) AnomalyGFM performs significantly better the state-of-the-art unsupervised, supervised, and generalist GAD methods, and ii) AnomalyGFM can scale up to very large graphs
The GAD datasets after feature alignment can be obtained from google drive link.
The code for AnomalyGFM and the adaptation to the baseline will be uploaded soon.