JGURD: joint gradient update relational direction-enhanced method for knowledge graph completion
Relational direction plays an important role in multi-relational knowledge graphs (KGs). Current knowledge graph completion (KGC) methods suffer from insufficient utilization of relation correlation information. To address this issue, this article proposes a novel KGC framework, namely JGURD, which...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
PeerJ Inc.
2025-04-01
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| Col·lecció: | PeerJ Computer Science |
| Matèries: | |
| Accés en línia: | https://peerj.com/articles/cs-2808.pdf |
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