HOW POWERFUL ARE GRAPH NEURAL NETWORKS?
paper code 做者： Keyulu Xu MIT Weihua Hu Stanford University Jure Leskovec Stanford University Stefanie Jegelka MIT Published as a conference paper at ICLR 2019 截止2020/7/10被引用552次。html 摘要 圖神經網絡(GNNs)是一種
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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
- 8. CS224W-08-Graph Neural Networks
- 9. How convolution neural networks work
- 10. Graph Neural Networks for Social Recommendation