Yann LeCun - Graph Embedding, Content Understanding, and Self-Supervised Learning
![](https://i.ytimg.com/vi/O0LrdSzFSkc/mqdefault.jpg)
53:23
Ravi Kumar - Random Walks and Graph Properties
![](https://i.ytimg.com/vi/9dLd6n9yT8U/mqdefault.jpg)
30:29
#86 - Prof. YANN LECUN and Dr. RANDALL BALESTRIERO - SSL, Data Augmentation [NEURIPS2022]
![](https://i.ytimg.com/vi/aZNtHJwfIVg/mqdefault.jpg)
44:06
DeepWalk: Turning Graphs Into Features via Network Embeddings
![](https://i.ytimg.com/vi/2DyHW23L6Cs/mqdefault.jpg)
1:39:52
Knowledge Graphs & GraphRAG: Techniques for Building Effective GenAI Applications: Zach Blumenthal
![](https://i.ytimg.com/vi/YrhBZUtgG4E/mqdefault.jpg)
1:16:53
Graph Representation Learning (Stanford university)
![](https://i.ytimg.com/vi/LvmjbXZyoP0/mqdefault.jpg)
2:04:49
Geometric Deep Learning on Graphs and Manifolds - #NIPS2017
![](https://i.ytimg.com/vi/A7AnCvYDQrU/mqdefault.jpg)
1:00:10
Yann LeCun: "Energy-Based Self-Supervised Learning"
![](https://i.ytimg.com/vi/oQPCxwmBiWo/mqdefault.jpg)
31:39