論文報告筆記（三） DEMO-Net:Degree-specific Graph Neural Networks for Node and Graph Classification
論文筆記（二） DEMO-Net:Degree-specific Graph Neural Networks for Node and Graph Classification 這篇論文不是cv相關，由於要做報告，順便發篇博客吧 這是2019年8月份在KDD上的一篇關於圖神經網絡的文章，（找了半天連中文筆記都找不到，只好自己寫一篇了）我也是第一次接觸圖神經網絡，有錯誤請務必評論指正，不勝感激。 F
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相關文章
- 1. Structural Image Classification with Graph Neural Networks
- 2. Graph Convolutional Networks for Text Classification閱讀筆記
- 3. Deep Neural Networks for Learning Graph Representations論文筆記
- 4. 【論文筆記】Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks
- 5. 論文筆記之：Semi-supervised Classification with Graph Convolutional Networks
- 6. 筆記《Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels》-NeurIPS 2019
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- 8. 論文筆記：DROPEDGE TOWARDS DEEP GRAPH CONVOLUTIONAL NETWORKS ON NODE CLASSIFICATION
- 9. STRATEGIES FOR PRE-TRAINING GRAPH NEURAL NETWORKS
- 10. Applications of Graph Neural Networks