Understanding Graph Attention Networks

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▬▬ Used Music ▬▬▬▬▬▬▬▬▬▬▬
Creative Commons Attribution-ShareAlike 3.0 Unported

▬▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬
00:00 Introduction
00:32 Basics
5:55 Attention mechanism
11:55 The full picture

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▬▬ My equipment 💻

[NimaDmc]

I can admit that this is the best explanation for GAT and GNN one can find. Fantastic explanation with very simple English. The quality of sound and video is great as well. Many thanks.

[xorenpetrosyan]

This is the best and most in detail explanation on Graph CNN attention I've found. Great job!

[kenbobcorn]

This was simply a fantastic explanation video, I really do hope this video gets more coverage than it already has. It would be fantastic if you were to explain the concept of multi-head attention in another video. You've earned yourself a subscriber +1.

[jianxianghuang]

I especially love your background pics.

[Marauder]

This might be the best and simple explanation of GAT one can ever find! Thanks man

[kshitijdesai]

I found it hard to follow initially but after understanding GCNN thoroughly, this video is a gem.

Your work has been an absolute game-changer for me! The way you break down complex concepts into understandable and actionable insights is truly commendable. Your dedication to providing in-depth tutorials and explanations has tremendously helped me grasp the intricacies of GNNs. Keep up the phenomenal work!

[tobigm]

Thank you very much! This was my introduction into GAT and helped me to immediately get a good grasp of the basic concept :) I like the graphical support you provide to the explanation, it's gerat!

[mydigitalwayia]

Muchas gracias por el video. Despues de haber visto muchos otros, puedo decir que el suyo es el mejor, el mas sencillo de entender. Estoy muy agradecido con usted. Saludos

[snsacharya]

A wonderful and succinct explanation with crisp visualisations about both the attention mechanism and the graph neural network. The way the learnable parameters are highlighted along with the intuition (such as a weighted adjacency matrix) and the corresponding matrix operations is very well done.

[hlew]

This is the MOST BEST video of GCN and GAT, very great, thank you!

[anupr]

Explained in terms of basic Neural Network terminologies!! Great work 👍

[牢獄プンレク]

Amazingly easy to understand. Thank you.

[samuel]

Clear explanation and visualization on attention mechanism. Really helpful in studying GNN.

[pu]

This is pretty amazing content. The way you explain the concept is pretty great and I especially like the visual style and very neat looking visuals and animations you make. Thank you!

[nurkleblurker]

Extremely helpful. Very well explained in concrete and abstract terms.

[adityashahane]

very well explained, provides a very intuitive picture of the concept. Thanks a ton for this awesome lecture series!

[toluolu]

Very well explained. Thank you very much!

[NadaaTaiyab]

I'd love it if you could explain multi-head attention as well. You really have such a good grasp of this very complex subject.

[anastassiya]

it was the best explanation that gave me hope for the understanding these mechanisms. Everything was so good explained and depicted, thank you!