Semi-supervised entity alignment via knowledge graph embedding with awareness of degree difference

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationThe Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019
PublisherAssociation for Computing Machinery, Inc
Pages3130-3136
Number of pages7
ISBN (Electronic)9781450366748
DOIs
StatePublished - May 13 2019
Event2019 World Wide Web Conference, WWW 2019 - San Francisco, United States
Duration: May 13 2019May 17 2019

Publication series

NameThe Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019

Conference

Conference2019 World Wide Web Conference, WWW 2019
Country/TerritoryUnited States
CitySan Francisco
Period5/13/195/17/19

ASJC Scopus Subject Areas

  • Computer Networks and Communications
  • Software

Keywords

  • Entity Alignment
  • Knowledge Graph
  • Semi-supervised Learning

Fingerprint

Dive into the research topics of 'Semi-supervised entity alignment via knowledge graph embedding with awareness of degree difference'. Together they form a unique fingerprint.

Cite this