Graph Convolutional Neural Networks for Web-Scale Recommender Systems閱讀筆記
文章目錄 Motivation Model Optimization Discussion 本次介紹的paper是「Graph Convolutional Neural Networks for Web-Scale Recommender Systems」，也就是PinSage。圖卷積網絡（ GCN）是近幾年很火的研究方向，如何將GCN應用到實際場景中也是業界的研究熱點。PinSage是第一個在推
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相關文章
- 1. Graph Convolutional Neural Networks for Web-Scale Recommender Systems
- 2. Side Information-Knowledge Graph Convolutional Networks for Recommender Systems閱讀筆記
- 3. 閱讀總結：《Graph Convolutional Neural Networks for Web-Scale Recommender Systems》
- 4. Knowledge Graph Convolutional Networks for Recommender Systems
- 5. 論文閱讀：Knowledge Graph Convolutional Networks for Recommender Systems
- 6. Graph Convolutional Networks for Text Classification閱讀筆記
- 7. Convolutional Neural Networks for Sentence Classification 閱讀筆記
- 8. 閱讀筆記--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