Knowledge Graph Convolutional Networks for Recommender Systems

时间 2020-12-24

标签知识图谱用于推荐 KGCN模型繁體版

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Knowledge Graph Convolutional Networks for Recommender Systems ABSTRACT 背景为了减轻基于协作过滤的推荐系统的稀疏性和冷启动问题，研究人员和工程师通常收集用户和项目的属性，并设计精细的算法目的是利用这些额外的属性信息。一般来说，属性不是孤立的，而是相互联系的，形成了一个知识图谱（KG）。创新点提出了知识图卷积网络（KGCN

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1. Graph Convolutional Neural Networks for Web-Scale Recommender Systems
2. 论文阅读：Knowledge Graph Convolutional Networks for Recommender Systems
3. Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization
4. Side Information-Knowledge Graph Convolutional Networks for Recommender Systems阅读笔记
5. Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
6. 阅读总结：《Graph Convolutional Neural Networks for Web-Scale Recommender Systems》
7. Graph Convolutional Neural Networks for Web-Scale Recommender Systems阅读笔记
8. RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems简析
9. 阅读笔记--RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems
10. Paper Notes: Graph Convolutional Neural Networks for Web-Scale Recommender Systemste

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