DegreEmbed: Incorporating entity embedding into logic rule learning for knowledge graph reasoning

Knowledge graphs (KGs), as structured representations of real world facts, are intelligent databases incorporating human knowledge that can help machine imitate the way of human problem solving. However, KGs are usually huge and there are inevitably missing facts in KGs, thus undermining application...

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Veröffentlicht in:	Semantic Web 2023-12, Vol.14 (6), p.1099-1119
Hauptverfasser:	Li, Haotian, Liu, Hongri, Wang, Yao, Xin, Guodong, Wei, Yuliang
Format:	Artikel
Sprache:	eng
Schlagworte:	Data mining Embedding Graphs Heterogeneity Knowledge representation Learning Problem solving Reasoning Recommender systems
Online-Zugang:	Volltext
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