Recommendation of Learning Resource Based on Knowledge Graph Convolutional Network
Aiming at random sampling and the selection of neighborhoods that may lead to unstable recommendation results in existing Knowledge Graph Convolutional Network(KGCN) models, this study constructs a sampling model for Structural Holes and Common Neighbors(SHCN) importance ranking. SHCN leverages the...
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| Autore principale: | |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Editorial Office of Computer Engineering
2024-09-01
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| Serie: | Jisuanji gongcheng |
| Soggetti: | |
| Accesso online: | https://www.ecice06.com/fileup/1000-3428/PDF/20240915.pdf |
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