Noisy Knowledge Graph Representation Learning: a Rule-Enhanced Method

Knowledge graphs are used to store structured facts, which are presented in the form of triples, i.e., (head entity, relation, tail entity). Current large-scale knowledge graphs are usually constructed with (semi-) automated methods for knowledge extraction and the process inevitably introduces nois...

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Bibliographic Details

Published in:	Jisuanji kexue yu tansuo
Main Author:	SHAO Tianyang, XIAO Weidong, ZHAO Xiang
Format:	Article
Language:	Chinese
Published:	Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2023-12-01
Subjects:	knowledge graph; knowledge graph completion; noise detection; triple trustworthiness; triple embedding
Online Access:	http://fcst.ceaj.org/fileup/1673-9418/PDF/2208105.pdf