Multi-view knowledge graph fusion via knowledge-aware attentional graph neural network

Knowledge graphs (KGs) play a vital role in natural language processing (NLP), which can serve several downstream tasks. Because different views of KGs are usually constructed independently, the multi-view knowledge graph fusion (MVKGF) becomes a hotspot. Although multi-view learning studied very we...

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Veröffentlicht in:	Applied intelligence (Dordrecht, Netherlands) Netherlands), 2023-02, Vol.53 (4), p.3652-3671
Hauptverfasser:	Huang, Zhichao, Li, Xutao, Ye, Yunming, Zhang, Baoquan, Xu, Guangning, Gan, Wensheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Alignment Artificial Intelligence Computer Science Graph neural networks Knowledge Knowledge representation Machines Manufacturing Mechanical Engineering Natural language processing Neural networks Processes Semantics
Online-Zugang:	Volltext
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