Return
Integrating knowledge from knowledge graphs and large language models for explainable entity alignment
DOI:10.1016/j.inffus.2025.103587.png)
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
IF:
15.5
Papers:
4.1K
Citations:
2.7W

