On Training Knowledge Graph Embedding Models

Knowledge graph embedding (KGE) models have become popular means for making discoveries in knowledge graphs (e.g., RDF graphs) in an efficient and scalable manner. The key to success of these models is their ability to learn low-rank vector representations for knowledge graph entities and relations....

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Bibliographic Details
Main Authors: Sameh K. Mohamed, Emir Muñoz, Vit Novacek
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/12/4/147