Convolutional Models with Multi-Feature Fusion for Effective Link Prediction in Knowledge Graph Embedding

Link prediction remains paramount in knowledge graph embedding (KGE), aiming to discern obscured or non-manifest relationships within a given knowledge graph (KG). Despite the critical nature of this endeavor, contemporary methodologies grapple with notable constraints, predominantly in terms of com...

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Detalles Bibliográficos
Autores principales: Guo, Qinglang, Liao, Yong, Li, Zhe, Lin, Hui, Liang, Shenglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606879/
https://www.ncbi.nlm.nih.gov/pubmed/37895593
http://dx.doi.org/10.3390/e25101472

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606879/
https://www.ncbi.nlm.nih.gov/pubmed/37895593
http://dx.doi.org/10.3390/e25101472

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