【斯坦福】CS224W：图机器学习( 中英字幕 | 2019秋)
https://www.youtube.com/
课程主页：http://web.stanford.edu/class/cs224w/
课程主讲：Stanford Jure Leskovec（CS副教授）
课程内容：GNN 19课时+2次补充内容（基础知识：snap.py、在线服务器使用、数学基础）
课程资料（作业及PPT）：
链接：https://pan.baidu.com/s/1knl8X9lExVcMQe6HU2lobg
提取码：u1iz
字幕制作（中英）：Ruanpee
- 字幕制作者（中文（简体））：Ruanpee
视频选集
（1/21）
1. Introduction; Structure of Graphs (Sep 24, 2019)
01:19:22
2. Properties of Networks and Random Graph Models (Sep 26, 2019)
01:17:25
Snap.py and Google Cloud tutorial (Sep 27, 2019)
01:06:01
3. Motifs and Structural Roles in Networks (Oct 1, 2019)
01:20:36
4. Community Structure in Networks (Oct 3, 2019)
01:24:07
Review of Linear Algebra, Probability, and Proof Techniques (Oct 4, 2019)
01:21:12
5. Spectral Clustering (Oct 8, 2019)
01:21:07
6. Message Passing and Node Classification (Oct 10, 2019)
01:22:19
7. Graph Representation Learning (Oct 15, 2019)
01:19:22
8. Graph Neural Networks (Oct 17, 2019)
01:20:53
9. Graph Neural Networks- Hands-on Session (Oct 22, 2019)
01:17:27
10. Deep Generative Models for Graphs (Oct 24, 2019)
01:18:17
11. Link Analysis- PageRank (Oct 29, 2019)
01:21:25
12. Network Effects and Cascading Behavior (Oct 31, 2019)
01:20:21
13. Probabilistic Contagion and Models of Influence (Nov 5, 2019)
01:14:02
14. Influence Maximization in Networks (Nov 7, 2019)
01:14:53
15. Outbreak Detection in Networks (Nov 12, 2019)
01:18:28
16. Network Evolution (Nov 14, 2019)
01:20:32
17. Reasoning over Knowledge Graphs (Nov 21, 2019)
01:18:33
18. Limitations of Graph Neural Networks (Dec 3, 2019)
01:05:29
19. Applications of Graph Neural Networks (Dec 5, 2019)
01:13:36
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