PDKE: an efficient distributed embedding framework for large knowledge graphs

Dong, Sicong, Wang, Xin, Chai, Lele, Li, Jianxin and Yang, Yajun 2020, PDKE: an efficient distributed embedding framework for large knowledge graphs, in DASFAA 2020 : Proceedings of the 25th International Conference on Database Systems for Advanced Applications, Springer, Cham, Switzerland, pp. 588-603, doi: 10.1007/978-3-030-59416-9_35.

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Title PDKE: an efficient distributed embedding framework for large knowledge graphs
Author(s) Dong, Sicong
Wang, Xin
Chai, Lele
Li, JianxinORCID iD for Li, Jianxin orcid.org/0000-0002-9059-330X
Yang, Yajun
Conference name DASFAA Database Systems for Advanced Applications. International Conference (25th : 2020 : Jeju, South Korea)
Conference location Jeju, South Korea
Conference dates 24 - 27 Sep. 2020
Title of proceedings DASFAA 2020 : Proceedings of the 25th International Conference on Database Systems for Advanced Applications
Editor(s) Nah, Yunmook
Cui, Bin
Lee, Sang-Won
Yu, Jeffrey Xu
Moon, Yang-Sae
Whang, Steven Euijong
Publication date 2020
Series Lecture Notes in Computer Science
Start page 588
End page 603
Total pages 16
Publisher Springer
Place of publication Cham, Switzerland
Keyword(s) knowledge representation learning
knowledge graphs
distributed framework
knowledge embedding
CORE2020 B
ISBN 9783030594152
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-030-59416-9_35
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2020, Springer Nature Switzerland
Persistent URL http://hdl.handle.net/10536/DRO/DU:30144306

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