PEJL: A path-enhanced joint learning approach for knowledge graph completion

PEJL: A path-enhanced joint learning approach for knowledge graph completion

Knowledge graphs (KGs) often suffer from incompleteness. Knowledge graph completion (KGC) is proposed to complete missing components in a KG. Most KGC methods focus on direct relations and fail to leverage rich semantic information in multi-hop paths. In contrast, path-based embedding methods can ca...

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Bibliographic Details
Main Authors: Xinyu Lu, Lifang Wang, Zejun Jiang, Shizhong Liu, Jiashi Lin
Format: Article
Language:English
Published: AIMS Press 2023-06-01
Series:AIMS Mathematics
Subjects:
knowledge graph completion
knowledge graphs
path
triples
multi-hop components
Online Access:https://www.aimspress.com/article/doi/10.3934/math.20231067?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/math.20231067?viewType=HTML

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