論文筆記：LCLR 2018 FastGCN: Fast Learning With Graph Convolutional Networks Via Important Sampling
前言 這篇文章對數學的要求好高，奈何自己水平有限讀不太懂，想進一步瞭解的推薦去看原文或者後面附上的博客鏈接，此篇博客僅僅是作者按照自己的思考過程整理而得 作者基於2017年由Kipf和Welling提出的以一階切比雪夫不等式爲卷積核的圖卷積算法，分析它的一些特點如下： 傳統的GCN是一種直推式圖卷積(Transductive learning)，也就是訓練數據包含訓練數據和測試數據，只是測試數據在
相關文章
- 1. 論文筆記：LCML 2019 Simplifying Graph Convolutional Networks
- 2. [論文筆記] [2016] [NIPS] Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
- 3. 論文筆記：ESWC 2018 Modeling Relational Data with Graph Convolutional Networks
- 4. 論文解讀：Graph Convolutional Networks for Text Classifification
- 5. 論文筆記之：Semi-supervised Classification with Graph Convolutional Networks
- 6. [2018][ICLR]FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORKS 論文筆記
- 7. [論文筆記]EMNLP2019: Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks
- 8. 論文閱讀筆記：GAS---spam review detection with graph convolutional networks
- 9. Learning Convolutional Neural Networks for Graphs論文筆記
- 10. 論文筆記：Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
- 更多相關文章...
- • ASP.NET Razor - 標記 - ASP.NET 教程
- • CAP理論是什麼？ - NoSQL教程
- • Tomcat學習筆記（史上最全tomcat學習筆記）
- • Scala 中文亂碼解決
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. 論文筆記：LCML 2019 Simplifying Graph Convolutional Networks
- 2. [論文筆記] [2016] [NIPS] Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
- 3. 論文筆記：ESWC 2018 Modeling Relational Data with Graph Convolutional Networks
- 4. 論文解讀：Graph Convolutional Networks for Text Classifification
- 5. 論文筆記之：Semi-supervised Classification with Graph Convolutional Networks
- 6. [2018][ICLR]FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORKS 論文筆記
- 7. [論文筆記]EMNLP2019: Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks
- 8. 論文閱讀筆記：GAS---spam review detection with graph convolutional networks
- 9. Learning Convolutional Neural Networks for Graphs論文筆記
- 10. 論文筆記：Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering