Complex Embedding with Type Constraints for Link Prediction

Large-scale knowledge graphs not only store entities and relations but also provide ontology-based information about them. Type constraints that exist in this information are of great importance for link prediction. In this paper, we proposed a novel complex embedding method, CHolE, in which complex...

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Bibliographic Details

Published in:	Entropy
Main Authors:	Xiaohui Li, Zhiliang Wang, Zhaohui Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2022-02-01
Subjects:	type constraint link prediction complex embedding complex circular correlation
Online Access:	https://www.mdpi.com/1099-4300/24/3/330