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Integrating knowledge from knowledge graphs and large language models for explainable entity alignment

delete2025-08-07
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PRE
AI
L
Linyao Yang
H
Hongyang Chen *
王晓 (Xiao Wang)
J
Jing Yang
F
Fei‐Yue Wang
H
Han Liu
DOI:10.1016/j.inffus.2025.103587delete
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Abstract

Abstract

En 中文
• Combined KGs and LLMs for accurate, explainable entity alignment. • Designed a CNN-based retriever to integrate diverse information for retrieval. • Prompted LLMs to decide equivalence and give clear justifications.
Keywords:
Knowledge Graphs
Large Language Models
Entity Alignment
Convolutional Neural Networks
Explainable AI

Journal

Information Fusion cover
Information Fusion
IF:
15.5
Papers:
4.1K
Citations:
2.7W

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Z
Zhejiang Lab
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335
Papers: 165
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I
Institute of Automation
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529
Papers: 278
Citations: 220
D
Dalian University of Technology
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A
anhui university
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Papers: 1.2W
Citations: 24
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