Graph Neural Networks (GNN)（二）：Spectral-GNN 引言和導入
1. 概述 前面講了 Spatial-GNNGraph Neural Networks (GNN)（一）：Spatial - GNN 的基本原理和一些典型的實現。這一篇主要介紹一下另外一大類：Spectral-GNN。這一類一開始理解起來會比較抽象，因爲涉及太多數學、信號處理等方面的內容，我一開始也陷入了這些困境裏面。但是通過閱讀了幾位大牛的知乎或者博客之後，發現其實本質和 Spatial-GNN
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相關文章
- 1. Graph Neural Networks (GNN)（三）：Spectral-GNN 之 GCN
- 2. 【GNN實驗新基準】Benchmarking Graph Neural Networks
- 3. Applications of Graph Neural Networks
- 4. GMNN: Graph Markov Neural Networks
- 5. 筆記《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?