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

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

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 effectivel...

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Bibliographic Details
Main Authors: Salwana, Mohamad, Noor Azida, Sahabudin, Nor Syahidatul Nadiah, Ismail, Ily Amalina, Ahmad Sabri
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2023
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/40733/
http://umpir.ump.edu.my/id/eprint/40733/1/A%20Review%20of%20Knowledge%20Graph%20Embedding%20Methods.pdf
http://umpir.ump.edu.my/id/eprint/40733/2/A%20review%20of%20knowledge%20graph%20embedding%20methods%20of%20TransE.pdf

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