Author

Hao Gao

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Jul 2026

NGM-RAG: Neural Graph Matching based Retrieval-Augmented Generation

NGM-RAG is introduced, a novel framework that leverages graph structures to effectively capture and utilize relational knowledge for improved retrieval and answer generation and proposes a neural graph matching approach that combines text-based matching with Graph Neural Networks (GNNs).

Guo Chen, Ziwen Li, Mao Zheng et al. · arXiv.org · 0 citations