Self-/Unsupervised GNN Training

  Рет қаралды 19,857

DeepFindr

DeepFindr

Күн бұрын

Пікірлер: 25
@TimeIsLife_Kiqi
@TimeIsLife_Kiqi 11 күн бұрын
This is incredibly helpful! Appreciated!
@radhen171992
@radhen171992 Жыл бұрын
This video is exactly what I was looking for! Great summary.
@jihochoi_cs
@jihochoi_cs 2 жыл бұрын
Amazing video! Thanks for the great work.
@transationalien
@transationalien 5 ай бұрын
Banger vid from big dog as always🐶
@sakib.9419
@sakib.9419 2 жыл бұрын
bro your channel is insane!
@DeepFindr
@DeepFindr 2 жыл бұрын
Haha thanks! Glad you like it
@sakib.9419
@sakib.9419 2 жыл бұрын
@@DeepFindr I do a lot of machine learning for my work and I’ve recently thought about modelling train networks as a graph to apply algorithms. d’you have a discord or something, would love to chat a bit?
@DeepFindr
@DeepFindr 2 жыл бұрын
Hi! I'd love to but unfortunately I don't find time to maintain a discord or anything like that. Maybe in the future :)
@solo_driven
@solo_driven 2 жыл бұрын
Great channel! Keep up the good work!
@NeotenicApe
@NeotenicApe 2 жыл бұрын
You are incredible
@RishabhSingh-hc4nz
@RishabhSingh-hc4nz Жыл бұрын
Ur work is appreciable sir pls upload next video and also make the movie recommender system code explanation
@MaryamKamali-ln4lz
@MaryamKamali-ln4lz 2 жыл бұрын
Thanks for really great videos! Could you please create a video on temporal variational graph autoencoders?
@mrinmoybanik5598
@mrinmoybanik5598 Жыл бұрын
Hmm can make something on solving NP hard combinatorial graph problems using GNNs?
@OGIMxGaMeR
@OGIMxGaMeR Жыл бұрын
Do you know any libraries implementing self supervised learning on graphs?
@trez6465
@trez6465 2 жыл бұрын
Amazing video. What tool do you use to make the slides and the beautiful graphics?
@DeepFindr
@DeepFindr 2 жыл бұрын
Thanks :) DaVinci resolve and PowerPoint :P
2 жыл бұрын
Great as always :D
@comp-it1913
@comp-it1913 2 жыл бұрын
I am looking forward to present a lecture based in dynamic graphs variational autoencoder where temporal dependencies occured in dataset such as autonomous driving for point clouds change at each time instant,also to get latent space Z. Please read a paper joint dynamic variational graph autoencoder and make a video on its implementation step by step. I will be very thankful
@쐉빽
@쐉빽 Жыл бұрын
You can search VGRNN(Variational Graph Recurrent Neural Network) which is handling dynamic graph by snapshot. It means that sequences graph (=dynamic graph) can see multi-static graph. This method called discrete method.
@dzxxbj
@dzxxbj 2 жыл бұрын
Can show some demos on google colab, are there any more applications ?
@DeepFindr
@DeepFindr 2 жыл бұрын
Will do a contrastive tutorial with code soon :) what kind of applications do you mean?
@ghadaalmousa9248
@ghadaalmousa9248 2 жыл бұрын
Hello, Do you think Generative Adversarial Networks can improve the performance of GCN . if that so how it work?/
@washedtoohot
@washedtoohot 2 жыл бұрын
Yes
@washedtoohot
@washedtoohot 2 жыл бұрын
No
@冯导-m1e
@冯导-m1e Жыл бұрын
@@washedtoohot so yes or no ?
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