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A graph neural network framework based on preference-aware graph diffusion for recommendation
Transforming user check-in data into graph structure data is a popular and powerful way to analyze users' behaviors in the field of recommendation. Graph-based deep learning methods such as graph embeddings and graph neural networks have shown promising performance on the task of point-of-inter...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608317/ https://www.ncbi.nlm.nih.gov/pubmed/36311496 http://dx.doi.org/10.3389/fpsyt.2022.1012980 |