Interest-Aware Contrastive-Learning-Based GCN for Recommendation
Graph convolutional networks (GCNs) have shown great potential in recommender systems.
GCN models contain multiple layers of graph convolutions to exploit signals from higher …
GCN models contain multiple layers of graph convolutions to exploit signals from higher …
[引用][C] Interest-Aware Contrastive-Learning-Based GCN for Recommendation
C Lin, W Zhou, J Wen - IEEE Access, 2022 - ui.adsabs.harvard.edu
Interest-Aware Contrastive-Learning-Based GCN for Recommendation - NASA/ADS Now
on home page ads icon ads Enable full ADS view NASA/ADS Interest-Aware Contrastive-Learning-Based …
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Interest-Aware Contrastive-Learning-Based GCN for Recommendation
C Lin, W Zhou, J Wen - 2022 - ir.lzu.edu.cn
摘要Graph convolutional networks (GCNs) have shown great potential in recommender
systems. GCN models contain multiple layers of graph convolutions to exploit signals from …
systems. GCN models contain multiple layers of graph convolutions to exploit signals from …
Interest-Aware Contrastive-Learning-Based GCN for Recommendation
C Lin, W Zhou, J Wen - 2022 - ir.lzu.edu.cn
摘要Graph convolutional networks (GCNs) have shown great potential in recommender
systems. GCN models contain multiple layers of graph convolutions to exploit signals from …
systems. GCN models contain multiple layers of graph convolutions to exploit signals from …