Manzong Huang — accepted AI-conference papers

2026

Relink: Constructing Query-Driven Evidence Graph On-the-Fly for GraphRAG

Manzong Huang, Chenyang Bu, Yi He, Xingrui Zhuo, Xindong Wu

AAAI 2026technical

Graph-based Retrieval-Augmented Generation (GraphRAG) mitigates hallucinations in Large Language Models (LLMs) by grounding them in structured knowledge. However, current GraphRAG methods are constrained by a prevailing build-then-reason paradigm, which relies on a static, pre-constructed Knowledge

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2025

How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback

Manzong Huang, Chenyang Bu, Yi He, Xindong Wu

IJCAI 2025

Knowledge Graph (KG)-augmented Large Language Models (LLMs) have recently propelled significant advances in complex reasoning tasks, thanks to their broad domain knowledge and contextual awareness. Unfortunately, current methods often assume KGs to be complete, which is impractical given the inheren

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