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Recommendation algorithm based on attributed multiplex heterogeneous network
In the field of deep learning, the processing of large network models on billions or even tens of billions of nodes and numerous edge types is still flawed, and the accuracy of recommendations is greatly compromised when large network embeddings are applied to recommendation systems. To solve the pr...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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PeerJ Inc.
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725661/ https://www.ncbi.nlm.nih.gov/pubmed/35036537 http://dx.doi.org/10.7717/peerj-cs.822 |