论文报告笔记（三） DEMO-Net:Degree-specific Graph Neural Networks for Node and Graph Classification

时间 2020-12-30

标签 graph 图卷积数据挖掘图神经网络 WLtest 繁體版

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论文笔记（二） DEMO-Net:Degree-specific Graph Neural Networks for Node and Graph Classification 这篇论文不是cv相关，由于要做报告，顺便发篇博客吧这是2019年8月份在KDD上的一篇关于图神经网络的文章，（找了半天连中文笔记都找不到，只好自己写一篇了）我也是第一次接触图神经网络，有错误请务必评论指正，不胜感激。 F

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1. Structural Image Classification with Graph Neural Networks
2. Graph Convolutional Networks for Text Classification阅读笔记
3. Deep Neural Networks for Learning Graph Representations论文笔记
4. 【论文笔记】Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks
5. 论文笔记之：Semi-supervised Classification with Graph Convolutional Networks
6. 笔记《Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels》-NeurIPS 2019
7. 【论文笔记】Graph Transformer Networks
8. 论文笔记：DROPEDGE TOWARDS DEEP GRAPH CONVOLUTIONAL NETWORKS ON NODE CLASSIFICATION
9. STRATEGIES FOR PRE-TRAINING GRAPH NEURAL NETWORKS
10. Applications of Graph Neural Networks

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