Self-/Unsupervised GNN Training

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  • Опубліковано 18 гру 2024

КОМЕНТАРІ • 24

  • @radhen171992
    @radhen171992 Рік тому +1

    This video is exactly what I was looking for! Great summary.

  • @jihochoi_cs
    @jihochoi_cs 2 роки тому +4

    Amazing video! Thanks for the great work.

  • @transationalien
    @transationalien 4 місяці тому

    Banger vid from big dog as always🐶

  • @sakib.9419
    @sakib.9419 2 роки тому +2

    bro your channel is insane!

    • @DeepFindr
      @DeepFindr  2 роки тому

      Haha thanks! Glad you like it

    • @sakib.9419
      @sakib.9419 2 роки тому

      @@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 роки тому +1

      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 роки тому +1

    Great channel! Keep up the good work!

  • @RishabhSingh-hc4nz
    @RishabhSingh-hc4nz Рік тому +1

    Ur work is appreciable sir pls upload next video and also make the movie recommender system code explanation

  • @NeotenicApe
    @NeotenicApe Рік тому

    You are incredible

  • @MaryamKamali-ln4lz
    @MaryamKamali-ln4lz 2 роки тому

    Thanks for really great videos! Could you please create a video on temporal variational graph autoencoders?

  •  2 роки тому

    Great as always :D

  • @mrinmoybanik5598
    @mrinmoybanik5598 Рік тому

    Hmm can make something on solving NP hard combinatorial graph problems using GNNs?

  • @OGIMxGaMeR
    @OGIMxGaMeR Рік тому

    Do you know any libraries implementing self supervised learning on graphs?

  • @trez6465
    @trez6465 2 роки тому

    Amazing video. What tool do you use to make the slides and the beautiful graphics?

    • @DeepFindr
      @DeepFindr  2 роки тому

      Thanks :) DaVinci resolve and PowerPoint :P

  • @comp-it1913
    @comp-it1913 2 роки тому +5

    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 11 місяців тому

      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 роки тому

    Can show some demos on google colab, are there any more applications ?

    • @DeepFindr
      @DeepFindr  2 роки тому

      Will do a contrastive tutorial with code soon :) what kind of applications do you mean?

  • @ghadaalmousa9248
    @ghadaalmousa9248 2 роки тому

    Hello,
    Do you think Generative Adversarial Networks can improve the performance of GCN . if that so how it work?/