A review of knowledge graph embedding methods of TransE, TransH and TransR for missing links

Salwana, Mohamad and Noor Azida, Sahabudin and Nor Syahidatul Nadiah, Ismail and Ily Amalina, Ahmad Sabri (2023) A review of knowledge graph embedding methods of TransE, TransH and TransR for missing links. In: 8th IEEE International Conference on Software Engineering and Computer Systems, ICSECS 2023 , 25 - 27 August 2023 , Penang, Malaysia. 470 -475.. ISBN 979-835031093-1

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Abstract

Knowledge representation and reasoning require knowledge graph embedding as it is crucial in the area. It involves mapping entities and relationships from a knowledge graph into vectors of lower dimensions that are continuous in nature. This encoding enables machine learning algorithms to effectively reason and make predictions on graph-structured data. This review article offers an overview and critical analysis specifically about the methods of knowledge graph embedding which are TransE, TransH, and TransR. The key concepts, methodologies, strengths, and limitations of these methods, along with examining their applications and experiments conducted by existing researchers have been studied. The motivation to conduct this study is to review the well-known and most applied knowledge embedding methods and compare the features of those methods so that a comprehensive resource for researchers and practitioners interested in delving into knowledge graph embedding techniques is delivered.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Knowledge graph; Knowledge graph embedding TransE; TransH; TransR
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division:	Faculty of Computing
Depositing User:	Mrs Norsaini Abdul Samat
Date Deposited:	22 Mar 2024 03:35
Last Modified:	22 Mar 2024 03:35
URI:	http://umpir.ump.edu.my/id/eprint/40733
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