Relation prediction in knowledge graph by Multi-Label Deep Neural Network

Relation prediction in knowledge graph by Multi-Label Deep Neural Network

Abstract Knowledge graph will be usefull for the intelligent system. As the relationship prediction on the knowledge graph becomes accurate, construction of a knowledge graph and detection of erroneous information included in a knowledge graph can be performed more conveniently. The goal of our rese...

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Bibliographic Details
Main Authors: Yohei Onuki, Tsuyoshi Murata, Shun Nukui, Seiya Inagi, Xule Qiu, Masao Watanabe, Hiroshi Okamoto
Format: Article
Language:English
Published: SpringerOpen 2019-05-01
Series:Applied Network Science
Subjects:
Knowledge graph
DNN
Embedding
TransE
Link prediction
Online Access:http://link.springer.com/article/10.1007/s41109-019-0133-4

Internet

http://link.springer.com/article/10.1007/s41109-019-0133-4

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