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

GRAPH ATTENTION NETWORKS

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