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LightFIG: simplifying and powering feature interactions via graph for recommendation
The attributes of users and items contain key information for recommendation. The latest advances demonstrate that better representations can be learned by performing graph convolutions on attribute graph of the user-item pair. Recently proposed models construct graphs that not only connect edges be...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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PeerJ Inc.
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299275/ https://www.ncbi.nlm.nih.gov/pubmed/35875639 http://dx.doi.org/10.7717/peerj-cs.1019 |