Detect by Yourself: Self-Designing Agentic Workflows for Few-Shot Graph Anomaly Detection

In three linesSignGAD introduces a self-designing agentic framework for few-shot graph anomaly detection. Instead of fixed pipelines, it designs task-conditioned detection workflows by selecting suitable graph encodings and detector designs. A guarded refit strategy refines selected workflows under limited supervision, outperforming state-of-the-art methods on real-world datasets.

Summary generated by Claude — human-verified