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KGCMC: a hybrid approach combining graph convolutional matrix completion and knowledge-aware attention for recommender systems
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| Published in: | International Journal of Data Science and Analytics |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1868553683577339904 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | International Journal of Data Science and Analytics |
| description | |
| discipline_display | Big data and data science |
| discipline_facet | Big data and data science |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:82892 |
| institution | FRELIP |
| journal_source_facet | International Journal of Data Science and Analytics |
| last_indexed | 2026-06-20T21:40:56.151Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | KGCMC: a hybrid approach combining graph convolutional matrix completion and knowledge-aware attention for recommender systems Big data and data science General Big data and data science |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Big data and data science General Big data and data science |
| subject_facet | Big data and data science General Big data and data science |
| title | KGCMC: a hybrid approach combining graph convolutional matrix completion and knowledge-aware attention for recommender systems |
| title_alt | KGCMC: un enfoque híbrido que combina finalización de matrices con convolución en grafos y atención consciente del conocimiento para sistemas de recomendación KGCMC : une approche hybride combinant complétion de matrice par convolution de graphes et attention consciente des connaissances pour les systèmes de recommandation KGCMC: uma abordagem híbrida combinando conclusão de matriz grafo-convolucional e atenção consciente de conhecimento para sistemas de recomendação |
| title_auth | KGCMC: a hybrid approach combining graph convolutional matrix completion and knowledge-aware attention for recommender systems |
| title_es_txt | KGCMC: un enfoque híbrido que combina finalización de matrices con convolución en grafos y atención consciente del conocimiento para sistemas de recomendación |
| title_fr_txt | KGCMC : une approche hybride combinant complétion de matrice par convolution de graphes et attention consciente des connaissances pour les systèmes de recommandation |
| title_full | KGCMC: a hybrid approach combining graph convolutional matrix completion and knowledge-aware attention for recommender systems |
| title_fullStr | KGCMC: a hybrid approach combining graph convolutional matrix completion and knowledge-aware attention for recommender systems |
| title_full_unstemmed | KGCMC: a hybrid approach combining graph convolutional matrix completion and knowledge-aware attention for recommender systems |
| title_pt_txt | KGCMC: uma abordagem híbrida combinando conclusão de matriz grafo-convolucional e atenção consciente de conhecimento para sistemas de recomendação |
| title_short | KGCMC: a hybrid approach combining graph convolutional matrix completion and knowledge-aware attention for recommender systems |
| title_sort | kgcmc: a hybrid approach combining graph convolutional matrix completion and knowledge-aware attention for recommender systems |
| topic | Big data and data science General Big data and data science |
| url | https://link.springer.com/article/10.1007/s41060-026-01151-4 |