How Graph Neural Networks Are Transforming Industries

[@samurai-code]

Amazing video, one of the best intro to GNNs on YT. Thank you!

[@AssemblyAI]

Glad you liked it!

[@NielsSwimberghe]

Fantastic video. So much information!

[@AssemblyAI]

Glad it was helpful!

[@MarkSimithraaratchy]

Excellent video. I hadn't come across the Relational Deep Learning' paper where data-mining use case of taking relational tables as input. Genius idea.

[@AssemblyAI]

Thank you! Indeed, that research came out just a couple of months ago and may unlock so many exciting applications because of its great generality and applicability!

[@kwongster]

Thanks for the overview, helped a ton. Would love to see videos diving into GNN architecture

[@adrienforbu5165]

Nice video ! One could also talk about the incorporation of the powerful transformers architecture into GNN

[@graziamarchese692]

Excellent! Very clear, very much well conceived and structured; understendable also by non-experts.

[@Stewz66]

Thank you. I have a node/edge graph problem and i need to get smart on GNN in a hurry.🙏🏽

[@AssemblyAI]

You're welcome and good luck!

[@yosconisi]

Thanks, a good introduction! A friendly comment, there is some dirt on your camera. Looking forward to studying GNNs

[@AssemblyAI]

Thanks for watching!

[@saurabhmukherjee9757]

need a separate Video for GNN

[@7pri2]

Great video, thank you 😊

[@abbasahmad6643]

can we use a graph transformer in a relational database for the research point of view?

[@user-du8hf3he7r]

I found the dirt on the camera in the center of the screen very distracting. Perhaps you can use AI to remove it 😀

[@samurai-code]

don't be dramatic, it's a snot not a dirt

[@art-creator]

Graphs can be easily described with sparse matrices, so GNN are not something very special. More tricks are about dataset preparations for their tuning.

[@thesimplicitylifestyle]

😎🤖

[@turck_pharao]

If you know good video on explaining what GraphNN are, please share. This video requires to know the basics of GNN.