AI RESEARCH
Graph Fusion Across Languages using Large Language Models
arXiv CS.CL
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ArXi:2603.21248v1 Announce Type: new Combining multiple knowledge graphs (KGs) across linguistic boundaries is a persistent challenge due to semantic heterogeneity and the complexity of graph environments. We propose a framework for cross-lingual graph fusion, leveraging the in-context reasoning and multilingual semantic priors of Large Language Models (LLMs