ConvGNNs

ConvGNNs fall into two categories, spectral-based and spatial-based. Spectral based approaches define graph convolutions by introducing filters from the perspective of graph signal processing [82] where the graph convolutional operation is interpreted as removing noises from graph signals. Spatial-based approaches inherit ideas from RecGNNs to define graph convolutions by information propagation. spatial-based methods have developed rapidly recently due to its attractive efficiency, flexibility, and generality.

谱域图卷积是空域图卷积的特例

https://zhuanlan.zhihu.com/p/139682302

https://zhuanlan.zhihu.com/p/122968925

https://blog.csdn.net/weixin_45901519/article/details/106388964

https://blog.csdn.net/weixin_45901519/article/details/106436591

https://blog.csdn.net/weixin_45901519/article/details/106492963