GNN Project #4.3 - One-shot molecule generation - Part 1

[@itslogannye]

Gonna comment on this video as well, fantastic explanation my man. I'm a research physician in Boston working on medical uses for AI. However, I haven't had a formal education in computer science, advanced mathematics, etc. You break graph neural nets down well enough that dummies/outsiders like me can understand apply it in our own contexts. I appreciate how clearly you break things down. Please keep up the great work, you've got an incredible talent! :)

[@DeepFindr]

Thanks a lot for your kind words! Happy that you liked it :)

[@张章-w6t]

Just want to say thank you to your wonderful explanation! And I especially like the comment of your feeling for these works in the end of this video.

[@redalligator291]

Hello great video. I was just wondering about something you mentioned in the video. At time 14:19 you say that graph VAE's might not be the best architecture for graph generation, and I was wondering what other models do you recommend that might be better than GVAE's. I am asking this because I am working on the exact thing you are working on just for another disease, so I was wondering if you have any recommendations to make the process a lot simpler.

[@DeepFindr]

Hi, I would look into transformer models like Smiles Transformer or Diffusion models. In both cases the architecture is more suitable in my opinion

[@redalligator291]

@@DeepFindr Ok thank you so much. Do you know any good specific models in the Smiles Transformer or Diffusion that stand out to you as better than the rest. It would be really helpful if I knew what model I should be going off of.

[@TochukwuKevinDibia]

This is great!

[@sharonqin5911]

Thanks a lot !!!

[@chientruong926]

Thank you so much

[@clayouyang2157]

omg!!!!!