Multi-heterogeneous neighborhood-aware for Knowledge Graphs alignment

Entity alignment is an important task for the Knowledge Graph (KG) completion, which aims to identify the same entities in different KGs. Most of previous works only utilize the relation structures of KGs, but ignore the heterogeneity of relations and attributes of KGs. However, these information ca...

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Veröffentlicht in:	Information processing & management 2022-01, Vol.59 (1), p.102790, Article 102790
Hauptverfasser:	Cai, Weishan, Wang, Yizhao, Mao, Shun, Zhan, Jieyu, Jiang, Yuncheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Ablation Alignment Attention mechanism Attribute structure Entity alignment Graph theory Heterogeneity Heterogeneous graph attention Information management Knowledge Graphs Knowledge representation Neighborhoods Scalability
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