Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 7.1 - A general Perspective on GNNs
![](https://i.ytimg.com/vi/247Mkqj_wRM/mqdefault.jpg)
40:09
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 7.2 - A Single Layer of a GNN
![](https://i.ytimg.com/vi/MH4yvtgAR-4/mqdefault.jpg)
35:41
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 6.3 - Deep Learning for Graphs
![](https://i.ytimg.com/vi/i_LwzRVP7bg/mqdefault.jpg)
3:53:53
Machine Learning for Everybody – Full Course
![](https://i.ytimg.com/vi/zCEYiCxrL_0/mqdefault.jpg)
59:00
An Introduction to Graph Neural Networks: Models and Applications
![](https://i.ytimg.com/vi/1A6VoEkQnhQ/mqdefault.jpg)
27:50
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 8.1 - Graph Augmentation for GNNs
![](https://i.ytimg.com/vi/SLpWZgqsYfM/mqdefault.jpg)
43:28
Kumo AI & Relational Deep Learning | Data Brew | Episode 34
![](https://i.ytimg.com/vi/ErnWZxJovaM/mqdefault.jpg)
1:09:58
MIT Introduction to Deep Learning | 6.S191
![](https://i.ytimg.com/vi/ZfK4FDk9uy8/mqdefault.jpg)
1:16:18