Author

Junjie Huang

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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

Preprint Aug 2026

ForestBench: A Unified Graph Framework for Evaluating Multi-Agent Collaboration

This work introduces a generalizable evaluation framework that maps native MAS traces into a shared space of unified collaboration graphs, enabling different methods to be evaluated under the same representation, reference set, and metric panel.

Guo Chen, Ziwen Li, Reed Li et al. · 0 citations