Graph Convolutional Neural Networks for Web-Scale Recommender Systems阅读笔记
文章目录 Motivation Model Optimization Discussion 本次介绍的paper是“Graph Convolutional Neural Networks for Web-Scale Recommender Systems”，也就是PinSage。图卷积网络（ GCN）是近几年很火的研究方向，如何将GCN应用到实际场景中也是业界的研究热点。PinSage是第一个在推
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相关文章
- 1. Graph Convolutional Neural Networks for Web-Scale Recommender Systems
- 2. Side Information-Knowledge Graph Convolutional Networks for Recommender Systems阅读笔记
- 3. 阅读总结：《Graph Convolutional Neural Networks for Web-Scale Recommender Systems》
- 4. Knowledge Graph Convolutional Networks for Recommender Systems
- 5. 论文阅读：Knowledge Graph Convolutional Networks for Recommender Systems
- 6. Graph Convolutional Networks for Text Classification阅读笔记
- 7. Convolutional Neural Networks for Sentence Classification 阅读笔记
- 8. 阅读笔记--RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems
- 9. Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization
- 10. Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems