Predicting co-word links via heterogeneous graph convolutional networks
Abstract Co-word analysis, which explores the co-occurrence of key terminology within a specific field, is a valuable tool for identifying research themes and their networks. Leveraging the booming machine learning models, link prediction in co-word networks makes it possible to discover potential i...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2025-07-01
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| coleção: | Scientific Reports |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1038/s41598-025-05853-w |
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