Learning graph attention-aware knowledge graph embedding

Li, C., Peng, X. orcid.org/0000-0001-5787-9982, Niu, Y. et al. (4 more authors) (2021) Learning graph attention-aware knowledge graph embedding. Neurocomputing, 461. pp. 516-529. ISSN 0925-2312

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 Elsevier B.V. This is an author produced version of a paper subsequently published in Neurocomputing. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Knowledge graph embedding; Graph attention mechanism; Entity typing; Link prediction
Dates:
  • Accepted: 29 January 2021
  • Published (online): 21 July 2021
  • Published: 21 October 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 25 Nov 2021 10:43
Last Modified: 21 Jul 2022 00:13
Status: Published
Publisher: Elsevier BV
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.neucom.2021.01.139
Related URLs:

Share / Export

Statistics