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Learning Context-based Embeddings for Knowledge Graph Completion Cover

Learning Context-based Embeddings for Knowledge Graph Completion

Journal of Data and Information Science
Volume 7 (2022): Issue 2 (April 2022)
By: Fei Pu,  Zhongwei Zhang,  Yan Feng and  Bailin Yang  
Open Access
|Apr 2022

Authors

Fei Pu

puf2008@gmail.com

School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China

Zhongwei Zhang

School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China

Yan Feng

School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China

Bailin Yang

School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China
DOI: https://doi.org/10.2478/jdis-2022-0009 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 84 - 106
Submitted on: Nov 3, 2021
Accepted on: Mar 10, 2022
Published on: Apr 25, 2022
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Full expressiveness,
Relational contexts,
Knowledge graph embedding,
Relation patterns,
Link prediction
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2022 Fei Pu, Zhongwei Zhang, Yan Feng, Bailin Yang, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.

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