HOW POWERFUL ARE GRAPH NEURAL NETWORKS?
HOW POWERFUL ARE GRAPH NEURAL NETWORKS? Code link： https://github.com/weihua916/powerful-gnns 摘要：GNN對於圖形的特徵很有效，其可以通過不斷匯聚領節點的信息，GNN的變體在節點還是圖形分類方面都取得很多的成就，然後即便GNN革命性的特徵表達，然後還是存在屬性的理解限制，因此提出了能夠從不同的GNN框架
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相關文章
- 1. How powerful are graph neural networks?
- 2. HOW POWERFUL ARE GRAPH NEURAL NETWORKS?
- 3. How Powerful are Graph Neural Networks？ GIN 圖同構網絡 ICLR 2019 論文詳解
- 4. Firefox: How to be powerful?
- 5. How transferable are features in deep neural networks?
- 6. How are neural networks related to Fourier transforms
- 7. How to Implement Neural Networks with TensorFlow
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- 9. How convolution neural networks work
- 10. Graph Neural Networks for Social Recommendation