Multiview Translation Learning for Knowledge Graph Embedding

Recently, knowledge graph embedding methods have attracted numerous researchers’ interest due to their outstanding effectiveness and robustness in knowledge representation. However, there are still some limitations in the existing methods. On the one hand, translation-based representation models foc...

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Veröffentlicht in:	Scientific programming 2020, Vol.2020 (2020), p.1-9
Hauptverfasser:	Gu, Tianlong, Rao, Guanjun, Qin, Saige, Bin, Chenzhong, Chang, Liang
Format:	Artikel
Sprache:	eng
Schlagworte:	Embedding Graph theory Graphical representations Knowledge bases (artificial intelligence) Knowledge representation Learning Methods Principles Researchers Semantics Vector space
Online-Zugang:	Volltext
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