Review on The Graph Neural Network Model
图神经网络（Graph Neural Network）将神经网络的方法扩展到由图(graph)表示的数据领域。一般将图数据用在机器学习中经典的方法是使用一个转导函数(transduction function)将图结构和构成图的点的信息映射到M维欧式空间(m-dimensional Euclidean Space). 在这篇文章中，作者提出一种新的模型，即GNN，并且阐述了其监督学习的算法并且花了
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相关文章
- 1. 《The graph neural network model》笔记
- 2. Graph Neural Network Review
- 3. 图神经网络 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) =======================图神经网络
- 6. 图神经网络模型 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