Graph Neural Networks (GNN)（二）：Spectral-GNN 引言和导入
1. 概述 前面讲了 Spatial-GNNGraph Neural Networks (GNN)（一）：Spatial - GNN 的基本原理和一些典型的实现。这一篇主要介绍一下另外一大类：Spectral-GNN。这一类一开始理解起来会比较抽象，因为涉及太多数学、信号处理等方面的内容，我一开始也陷入了这些困境里面。但是通过阅读了几位大牛的知乎或者博客之后，发现其实本质和 Spatial-GNN
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相关文章
- 1. Graph Neural Networks (GNN)（三）：Spectral-GNN 之 GCN
- 2. 【GNN实验新基准】Benchmarking Graph Neural Networks
- 3. Applications of Graph Neural Networks
- 4. GMNN: Graph Markov Neural Networks
- 5. 笔记《Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels》-NeurIPS 2019
- 6. Graph Neural Network（GNN）概述
- 7. CS224W-08-Graph Neural Networks
- 8. HOW POWERFUL ARE GRAPH NEURAL NETWORKS?
- 9. Strategies For Pre-Training Graph Neural Networks
- 10. How powerful are graph neural networks?