Lol I thought the background music is louder I was using my headphones but it turns out you can't hear anything on mobile. 😂 Hopefully this will make it a bit easier to understand the project!
Yea dude, I can't tell you what a relief it was finding you. You're business slogan should be something like "aie, where you can actually read the scripts, run them, and start learning this shit" well... you might want something, um, catchier but I'm serious about that sentiment, keep it up
Hahah thanks duder! 😂 I love the combination of doing the engineering/coding and research otherwise there is a gap in understanding. That's my feeling, tnx again, appreciate the support!
38:18, very informative video! It took me few hours to grasp the 40mins video but it's nothing compared to reading the actual source code which may take longer hours to review it.
I am planning to use GNN on a Bio knowledge graph but unable to find a suitable dataset. Can you recommend any dataset? Where can we find a protein-protein dataset?
Lol I thought the background music is louder I was using my headphones but it turns out you can't hear anything on mobile. 😂 Hopefully this will make it a bit easier to understand the project!
This is magnificent. I really liked the fact that you focused on the most difficult part of the code.
Yea dude, I can't tell you what a relief it was finding you. You're business slogan should be something like "aie, where you can actually read the scripts, run them, and start learning this shit" well... you might want something, um, catchier but I'm serious about that sentiment, keep it up
Hahah thanks duder! 😂 I love the combination of doing the engineering/coding and research otherwise there is a gap in understanding. That's my feeling, tnx again, appreciate the support!
38:18, very informative video! It took me few hours to grasp the 40mins video but it's nothing compared to reading the actual source code which may take longer hours to review it.
Wow amazing work! you've tried ur best to explain many details! thank you so much!!
Amazing!!! I got lot of help from your explaination in jupyter, especially some tiny concepts like cora visualization, thank god!!! (you)
Amazing! Super useful stuff!! Thanks for your clear walk-through.
Glad to hear that!
Love your content!
Thanks!
Amazing ! Great video
Thank you!
odlično
awesome! great explanation. Thanks
Nice work!
Thank you!
very useful!
Thank you!
I am planning to use GNN on a Bio knowledge graph but unable to find a suitable dataset. Can you recommend any dataset? Where can we find a protein-protein dataset?
Sorry, nothing in O(1) I'd have to investigate it myself
How did you get dim 8 from the 3x1433 to 3x8? Excellent work...simplicity is a state of the art... :)) cheers
Can you also do some project for inductive learning tasks? Something related with NLP will be perfect.
Amazing work
Hey, can you also make a video on Graph Autoencoder, I feel that is one another branch which helps a lot in case of bipartite graphs
What's your youtube setup?
- The camera
- Microphone
- Software you use in recording your screen
Thank you in advance.
- cam: Sony ZV 1
- mic: Rode NTG
- rec: OBS
- prod: Da Vinci Resolve
You're welcome!
Great content, thank you. Do you have anything on link prediction using graph network.. Plz do share