Recommendation Model Based on Higher-Order Semantics and Node Attention in Heterogeneous Graph Neural Networks
In recent years, graph neural networks (GNNs) have been widely applied in recommendation systems. However, most existing GNN models do not fully consider the complex relationships between heterogeneous nodes and ignore the high-order semantic information in the interactions between different types o...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
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| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/13/9/1479 |
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