Enhancing Cross-Lingual Entity Alignment in Knowledge Graphs through Structure Similarity Rearrangement

Cross-lingual entity alignment in knowledge graphs is a crucial task in knowledge fusion. This task involves learning low-dimensional embeddings for nodes in different knowledge graphs and identifying equivalent entities across them by measuring the distances between their representation vectors. Ex...

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Detalles Bibliográficos
Autores principales: Liu, Guiyang, Jin, Canghong, Shi, Longxiang, Yang, Cheng, Shuai, Jiangbing, Ying, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459157/
https://www.ncbi.nlm.nih.gov/pubmed/37631633
http://dx.doi.org/10.3390/s23167096

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459157/
https://www.ncbi.nlm.nih.gov/pubmed/37631633
http://dx.doi.org/10.3390/s23167096

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