Intro to graph neural networks (ML Tech Talks)
![](https://i.ytimg.com/vi/LlKAna21fLE/mqdefault.jpg)
38:27
A friendly introduction to linear algebra for ML (ML Tech Talks)
![](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/uF53xsT7mjc/mqdefault.jpg)
1:12:20
Theoretical Foundations of Graph Neural Networks
![](https://i.ytimg.com/vi/LE3NfEULV6k/mqdefault.jpg)
44:59
Transfer learning and Transformer models (ML Tech Talks)
![](https://i.ytimg.com/vi/ErnWZxJovaM/mqdefault.jpg)
1:09:58
MIT Introduction to Deep Learning | 6.S191
![](https://i.ytimg.com/vi/oNEE7jKYjc4/mqdefault.jpg)
1:12:30
Algorithmic Reasoning, Graph Neural Nets, AGI and Tips to researchers | Petar Veličković
![](https://i.ytimg.com/vi/YrhBZUtgG4E/mqdefault.jpg)
1:16:53
Graph Representation Learning (Stanford university)
![](https://i.ytimg.com/vi/PLGcx65MhCc/mqdefault.jpg)
43:26