Review on The Graph Neural Network Model
圖神經網絡（Graph Neural Network）將神經網絡的方法擴展到由圖(graph)表示的數據領域。一般將圖數據用在機器學習中經典的方法是使用一個轉導函數(transduction function)將圖結構和構成圖的點的信息映射到M維歐式空間(m-dimensional Euclidean Space). 在這篇文章中，作者提出一種新的模型，即GNN，並且闡述了其監督學習的算法並且花了
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相關文章
- 1. 《The graph neural network model》筆記
- 2. Graph Neural Network Review
- 3. 圖神經網絡 The Graph neural network model
- 4. Learning from the Past: Continaul Meta-Learning with Bayesian Graph Neural network review
- 5. Graph Neural Network Model (origin) =======================圖神經網絡
- 6. 圖神經網絡模型 The Graph Neural Network Model
- 7. (Review cs231n) The Gradient Calculation of Neural Network
- 8. 【KDD 2019】Heterogeneous Graph Neural Network
- 9. Cs224W 8.1-Graph Neural Network
- 10. Paper Notes: A Comprehensive Survey on Graph Neural Networks