Geometric deep learning on graphs and manifolds using mixture model CNNs
Monti, Federico, et al. "Geometric deep learning on graphs and manifolds using mixture model CNNs." arXiv preprint arXiv:1611.08402 (2016).
摘要:作者提出课一个统一的框架,这个框架能把传统CNN泛化到非欧空间上。作者还说以前的一些工作是他们这个工作的特例。作者在图片,图结构数据和3D形状分析上都取得了最好的成绩。
1.介绍
1.1 相关工作
1.2 主要贡献
2.图上的深度学习
3.流形上的深度学习
4.主要方法
5.实验结果
5.1 图片
5.2 图结构数据
5.3 流形
6.结论
相关论文:
Semi-Supervised Classification with Graph Convolutional Networks
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
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