[論文筆記] [2016] [NIPS] Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
這篇論文是2016 NIPS上的一篇論文。從標題就可以看出這篇論文的特點所在：Fast Localized Spectral Filtering。這篇論文的主要貢獻在於： 改進了Spectral Networks，設計了 localized filter on graph，並且計算複雜度較低； 提出了一種較爲有效的 pooling 策略。 Learning Fast Localized Spect
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相關文章
- 1. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
- 2. 論文筆記：Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
- 3. 論文筆記之：Semi-supervised Classification with Graph Convolutional Networks
- 4. Learning Convolutional Neural Networks for Graphs論文筆記
- 5. [論文筆記]：GraphSAGE：Inductive Representation Learning on Large Graphs 論文詳解 NIPS 2017
- 6. [論文筆記] [2014] Spectral Networks and Deep Locally Connected Networks on Graphs
- 7. 【Fast Algorithms for Convolutional Neural Networks】論文筆記
- 8. 論文筆記：Spectral Networks and Deep Locally Connected Networks on Graphs
- 9. 論文筆記：Neural Collaborative Filtering
- 10. 【論文筆記】(HEVC)《Multi-stage Attention Convolutional Neural Networks for HEVC In-Loop Filtering》