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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |