A novel recommender system using light graph convolutional network and personalized knowledge-aware attention sub-network
Abstract Recently, graph neural networks (GNNs) have gained prominence in recommender systems (RS) due to their capability to extract vital features and understand intricate relationships. However, GNNs exhibit limitations in their ability to capture fine-grained semantics in a knowledge graph (KG)...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-99949-y |
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