You can download the notebook from appropriate tutorial: Webpage: ainimesh.github.io/gmlfa_autumn_2024/lectures/
@rishabhdwivedi2516Ай бұрын
hey broo fellow ml enthusiast here....
@kevon2173 ай бұрын
Appreciate the nice tutorial. Trying to get back into graph theory and this was helpful.
@truongsonnguyen1446 ай бұрын
Can you send me the code in this video, thank you so much.
@VivekAnilTarachandani7 ай бұрын
can you share the code file for this?
@ainimesh7 ай бұрын
Share your email
@parthjoshi50458 ай бұрын
what happens if we keep num_heads == 1 , einsum is giving some sort of error for that, any help is appreciated?
@riadhossainbhuiyan497810 ай бұрын
learned from u. thanks
@oskarikaadinugroho133211 ай бұрын
thank you
@sanjaykrish8719 Жыл бұрын
Excellent implementation and explanation. Can we get the notebook? It would have been great if you could have run. the final tasks in the custom model which you built instead of on PyG
@ainimesh Жыл бұрын
Sure in the next version of updated video series, everything will be provided.
@florianellsaesser4165 Жыл бұрын
Nice explanation. Thank you so much. Which original implementation are you referring to in the video. Thank you!
@ainimesh Жыл бұрын
Thank you ! I took inspiration from many places, one of them is "Antonio Longa" KZbin channel.
@florianellsaesser4165 Жыл бұрын
@@ainimesh Thank you so much!
@PN-eq8oe Жыл бұрын
Thank you for sharing such an informative video. I've learned a lot from this video. I noticed that you used data.train_mask to compute test_acc (27:52). I just wanted to ask if this was what you intended or if it might have been a mistake. Also, I noticed that you added 'heads' argument in the GAT class but I don't see where it was used. Maybe further modification is required? Thank you again for taking the time to create such great content, and I look forward to seeing more from you in the future.
@ainimesh Жыл бұрын
With further information new series will be uploaded soon
@Sashx123 Жыл бұрын
it's hard to find GNNs videos for beginners so this is nice ! i've been trying to apply GCNs for text classification, i don't quiet understand how to make train/test split of text nodes (since we can also have word nodes), can you also make videos of GCN for textual data ?