End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion.


Journal

Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence
ISSN: 2159-5399
Titre abrégé: Proc AAAI Conf Artif Intell
Pays: United States
ID NLM: 101524790

Informations de publication

Date de publication:
17 Jul 2019
Historique:
entrez: 27 6 2022
pubmed: 17 7 2019
medline: 17 7 2019
Statut: ppublish

Résumé

Knowledge graph embedding has been an active research topic for knowledge base completion, with progressive improvement from the initial

Identifiants

pubmed: 35756147
doi: 10.1609/aaai.v33i01.33013060
pmc: PMC9233560
mid: NIHMS1818065
doi:

Types de publication

Journal Article

Langues

eng

Pagination

3060-3067

Subventions

Organisme : NIDA NIH HHS
ID : K02 DA043063
Pays : United States
Organisme : NIDA NIH HHS
ID : R01 DA037349
Pays : United States
Organisme : NIDA NIH HHS
ID : R01 DA051922
Pays : United States

Auteurs

Chao Shang (C)

Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA.

Yun Tang (Y)

JD AI Research, Mountain View, CA, USA.

Jing Huang (J)

JD AI Research, Mountain View, CA, USA.

Jinbo Bi (J)

Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA.

Xiaodong He (X)

JD AI Research, Mountain View, CA, USA.

Bowen Zhou (B)

JD AI Research, Mountain View, CA, USA.

Classifications MeSH