Let Relations Speak: An End-to-End LLM-GNN Soft Prompt Framework for Fraud Detection

ArXi:2605.28524v1 Announce Type: new In recent years, Large Language Models (LLMs) have shown great capability in processing graph tasks such as fraud detection. However, most existing methods rely heavily on rich text attributes, which poses difficulties for this domain due to the lack of textual data. Although some pioneering methods attempt to overcome it, their textualization of graph structures via hard prompts easily leads to feature distortion.