Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization
标签平滑正则化推荐系统的知识图卷积网络 . 摘要 1. 介绍 2. 现有工作 3. 问题表述 4. 我们的方法：KGCN-LS 4.1 图卷积神经网络 4.2 讨论 4.3 标签平滑正则化 4.4 小批量实施 5. 实验 5.1 数据集和基线 5.2 验证G和Y之间的连接 5.3 结果 5.4 运行时间分析 6. 结论和未来的工作 .附录
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相关文章
- 1. Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
- 2. Knowledge Graph Convolutional Networks for Recommender Systems
- 3. Side Information-Knowledge Graph Convolutional Networks for Recommender Systems阅读笔记
- 4. Graph Convolutional Neural Networks for Web-Scale Recommender Systems
- 5. 论文阅读：Knowledge Graph Convolutional Networks for Recommender Systems
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- 7. Graph Convolutional Neural Networks for Web-Scale Recommender Systems阅读笔记
- 8. Multi-Label Image Recognition with Graph Convolutional Networks
- 9. Semi-Supervised Classification with Graph Convolutional Networks
- 10. IMAGE DENOISING WITH GRAPH-CONVOLUTIONAL NEURAL NETWORKS