DGP condenses neighbors into coarse-grained summaries while preserving the target node's full text, improving LLM-based fraud detection by up to 6.8 absolute AUPRC points over state-of-the-art methods.
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DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs
DGP condenses neighbors into coarse-grained summaries while preserving the target node's full text, improving LLM-based fraud detection by up to 6.8 absolute AUPRC points over state-of-the-art methods.