HOW POWERFUL ARE GRAPH NEURAL NETWORKS?

时间 2021-01-02

标签 gnn 繁體版

原文原文链接

HOW POWERFUL ARE GRAPH NEURAL NETWORKS? Code link： https://github.com/weihua916/powerful-gnns 摘要：GNN对于图形的特征很有效，其可以通过不断汇聚领节点的信息，GNN的变体在节点还是图形分类方面都取得很多的成就，然后即便GNN革命性的特征表达，然后还是存在属性的理解限制，因此提出了能够从不同的GNN框架

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1. How powerful are graph neural networks?
2. HOW POWERFUL ARE GRAPH NEURAL NETWORKS?
3. How Powerful are Graph Neural Networks？ GIN 图同构网络 ICLR 2019 论文详解
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

>>更多相关文章<<