Multi-Task Learning and Improved TextRank for Knowledge Graph Completion

Knowledge graph completion is an important technology for supplementing knowledge graphs and improving data quality. However, the existing knowledge graph completion methods ignore the features of triple relations, and the introduced entity description texts are long and redundant. To address these...

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Detalles Bibliográficos
Autores principales: Tian, Hao, Zhang, Xiaoxiong, Wang, Yuhan, Zeng, Daojian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601466/
https://www.ncbi.nlm.nih.gov/pubmed/37420516
http://dx.doi.org/10.3390/e24101495

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601466/
https://www.ncbi.nlm.nih.gov/pubmed/37420516
http://dx.doi.org/10.3390/e24101495

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