thanks man! decomposing the model into space and time operators with the code example helped me a lot in starting to implement my temporal GNN! cheers!
Hey Jacob, you are just excellent. Many thanks and I wish you thousands of subscribers which your quality content deserves. Please keep them coming. Thank you 🙏
Awesome video, Jacob! I'm trying to learn about this topic but it seems a little overwhelming for me since I've found different examples very challening for me. Do you know a basic example/implementation of this kind of NNs? Please share it. It'll be very helpful. Thanks!
Very interesting, Jacob! I am currently thinking about using a GNN to model the aging behavior of the pipes of a water network. I am still figuring out how to do that, because as you said, with time series you would usually have all the variations of the features throughout every time step, which is something that doesn't apply in my case.
I have never used GNNs. Propably because i was more into the Genetic Algorithm space while i wrote my master, and i guess GNN just have not caught on there yet. Spacial method sound like something that easilly could be used together with the HyperNeat method though 🤔
Hi Jacob! pretty useful videos. I used NN in conjunction with electrical calculations. Now I'm discovering GNN which apply very much to the subject. How would you add Edge features? are there any code samples to look at?
Hey men, thanks for the video, I'm working on a project right now with temporal graph neural networks but I'm kind of stuck, I have time series data for wind power generation every 10 minutes, and I have the relationship between the towers as the edges features, the main idea is to build a graph of the towers and the features are changing over time, and the goal is to predict the generated power of the entire graph let's say after 40 minutes, do you have any example that can help me?
One of the most informative and unique video on STGNNs data. Thanks sir
thanks man! decomposing the model into space and time operators with the code example helped me a lot in starting to implement my temporal GNN! cheers!
Hey Jacob, you are just excellent. Many thanks and I wish you thousands of subscribers which your quality content deserves. Please keep them coming. Thank you 🙏
Absolutely amazing video! Subscribed.
you saved my life
Loved this introduction. Keep up the good work.
You teach perfectly👍🙏👏
Thanks for the video. You've made it so easy for understanding the concept. Great!
this is such a great video on understandng the STGNN, expecting more from you sir!
Great video ! Please implement spatio temporal gnn instead of high level algorithm
Awesome video, Jacob!
I'm trying to learn about this topic but it seems a little overwhelming for me since I've found different examples very challening for me. Do you know a basic example/implementation of this kind of NNs? Please share it. It'll be very helpful. Thanks!
Very interesting, Jacob! I am currently thinking about using a GNN to model the aging behavior of the pipes of a water network. I am still figuring out how to do that, because as you said, with time series you would usually have all the variations of the features throughout every time step, which is something that doesn't apply in my case.
Sir which tool can I use to implement spatio temporal graph network
I have never used GNNs. Propably because i was more into the Genetic Algorithm space while i wrote my master, and i guess GNN just have not caught on there yet. Spacial method sound like something that easilly could be used together with the HyperNeat method though 🤔
Thanks man! I hope to help hospitals run more efficiently with these techniques :)
Hi Jacob! pretty useful videos. I used NN in conjunction with electrical calculations. Now I'm discovering GNN which apply very much to the subject. How would you add Edge features? are there any code samples to look at?
Hi, thanks for the video! It’s pretty clear. Btw, could you please provide the link or full name of the temporal attention 2019 paper? Thx
Check the video at 7:45, it's one of the two papers that I cited
ojs.aaai.org//index.php/AAAI/article/view/3881
MORE VIDS PLZ!!
10:03 How that FC layer act as decoder, any explanation?
Hey men, thanks for the video, I'm working on a project right now with temporal graph neural networks but I'm kind of stuck, I have time series data for wind power generation every 10 minutes, and I have the relationship between the towers as the edges features, the main idea is to build a graph of the towers and the features are changing over time, and the goal is to predict the generated power of the entire graph let's say after 40 minutes, do you have any example that can help me?
Now to the interesting part: which game uses STGNNs for AI system?
WOW!