[論文筆記] [2014] Spectral Networks and Deep Locally Connected Networks on Graphs
這篇論文首次提出了基於空域（Spectral-domain）和基於頻域（Spatial-domain）的圖上卷積神經網絡。 從題目可以看出，這篇論文分爲兩部分，一部分是Deep Locally Connected Networks，一部分是Spectral Networks。前者是基於空域角度去設計圖卷積的，而後者是基於頻域角度設計圖卷積。 Spatial Construction 空域上的工作，
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- 3. paper reading：[第一代GCN] Spectral Networks and Deep Locally Connected Networks on Graphs
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- 5. [論文筆記] [2016] [NIPS] Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
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相關文章
- 1. Spectral Networks and Deep Locally Connected Networks on Graphs
- 2. 論文筆記：Spectral Networks and Deep Locally Connected Networks on Graphs
- 3. paper reading：[第一代GCN] Spectral Networks and Deep Locally Connected Networks on Graphs
- 4. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
- 5. [論文筆記] [2016] [NIPS] Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
- 6. 論文筆記：Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
- 7. 【論文筆記】Deep Learning on Graphs: A Survey
- 8. Deep Learning on Graphs: A Survey論文筆記
- 9. 【論文筆記】Training Very Deep Networks - Highway Networks
- 10. Understanding Locally Connected Layers In Convolutional Neural Networks