cs224w笔记—第2课—Properties of Networks and Random Graph Models

时间 2021-01-13

标签 CS224笔记繁體版

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上一节课，讲了很多图的基本知识，这一节课主要讲关于网络科学的知识，而复杂网络中，由于数据的特点，出现了各种各样的规律，这一节课，简要介绍了一下度分布Degree distribution: P(k) 路径长度Path length: h 聚类系数Clustering coefficient: C 连通分量Connected components: s

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1. CS224W-08-Graph Neural Networks
2. CS224W 3.1-Motifs and Structural Roles in Networks
3. Applications of Graph Neural Networks
4. Graph Neural Networks: A Review of Methods and Applications学习笔记
5. Graph Neural Networks: A Review of Methods and Applications阅读笔记
6. CS224W 18.1-Limitations of Graph Neural Network
7. ICLR2014_Intriguing properties of neural networks
8. 《Graph Neural Networks: A Review of Methods and Applications》阅读笔记
9. 阅读笔记--CAN GRAPH NEURAL NETWORKS GO “ONLINE”? AN ANALYSIS OF PRETRAINING AND INFERENCE
10. Graph Embedding学习笔记（3）：Graph Convolution Networks

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