AAAI 2026technical0 citations
DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs
Yuan Li, Jun Hu, Bryan Hooi, Bingsheng He, Cheng Chen
Abstract
Real-world fraud detection applications benefit from graph learning techniques that jointly exploit node features—often rich in textual data—and graph structural information. Recently, Graph-Enhanced LLMs have emerged as a promising graph learning approach that converts graph information into prompts, exploiting LLMs
BibTeX
@inproceedings{aaai2026_dgpadualgranular,
title = {DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs},
author = {Yuan Li and Jun Hu and Bryan Hooi and Bingsheng He and Cheng Chen},
booktitle = {AAAI 2026},
year = {2026}
}