Practices, opportunities and challenges in the fusion of knowledge graphs and large language models

Practices, opportunities and challenges in the fusion of knowledge graphs and large language models

The fusion of Knowledge Graphs (KGs) and Large Language Models (LLMs) leverages their complementary strengths to address limitations of both technologies. This paper explores integration practices, opportunities, and challenges, focusing on three strategies: KG-enhanced LLMs (KEL), LLM-enhanced KGs...

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Bibliographic Details
Main Authors: Linyue Cai, Chaojia Yu, Yongqi Kang, Yu Fu, Heng Zhang, Yong Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Computer Science
Subjects:
large language model
knowledge graph
KEL
LEK
LKC
Online Access:https://www.frontiersin.org/articles/10.3389/fcomp.2025.1590632/full
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