[论文笔记] [2014] Spectral Networks and Deep Locally Connected Networks on Graphs
这篇论文首次提出了基于空域（Spectral-domain）和基于频域（Spatial-domain）的图上卷积神经网络。 从题目可以看出，这篇论文分为两部分，一部分是Deep Locally Connected Networks，一部分是Spectral Networks。前者是基于空域角度去设计图卷积的，而后者是基于频域角度设计图卷积。 Spatial Construction 空域上的工作，
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相关文章
- 1. Spectral Networks and Deep Locally Connected Networks on Graphs
- 2. 论文笔记：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. [论文笔记] [2016] [NIPS] Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
- 6. 论文笔记：Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
- 7. 【论文笔记】Deep Learning on Graphs: A Survey
- 8. Deep Learning on Graphs: A Survey论文笔记
- 9. 【论文笔记】Training Very Deep Networks - Highway Networks
- 10. Understanding Locally Connected Layers In Convolutional Neural Networks