Why would you use graphs for machine learning data?

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  • เผยแพร่เมื่อ 1 ต.ค. 2024

ความคิดเห็น • 10

  • @johnspivack6520
    @johnspivack6520 ปีที่แล้ว +2

    Sorry, this is a bad video. I gave a thumbs down. Part 2 is bad as well. It's phony, basically because you don't discuss the key concepts at all. It is just 'how wonderful they are' and 'great stuff they can do', not actually how they work. They second video shows some fancy formulas but also never get to a good conceptual explanation. I'm going to put a dislike on that one too.
    Please do better or don't take our time. No offense.

  • @ayoubfadil9868
    @ayoubfadil9868 3 ปีที่แล้ว +6

    Hi Jacob, thank you for this video. Really interested, please make a video about a basic mathematics of GNN

  • @jerryyang7011
    @jerryyang7011 4 หลายเดือนก่อน

    Succinct but well articulated deep insights on Graphs, GML, GNNs - great work. Thank you Jacob.

  • @redaabdellahkamraoui7325
    @redaabdellahkamraoui7325 2 ปีที่แล้ว

    Thanks. I still can't grasp clearly the intuition of how it can be different from a fully connected layers network (FCN). Can we consider FCN with a sufficient hidden layer as a generalized form of GCN, where GCN is more constrained, thus allowing for better learning in graph-structured problems?

  • @loveneet_saini
    @loveneet_saini 3 ปีที่แล้ว

    Hi Jacob! Thank you so much for this video. Would sharely share it with my colleagues.

  • @omid5258
    @omid5258 2 ปีที่แล้ว

    omg, you're the best, your tutorial was a life saver

  • @ho9462
    @ho9462 3 ปีที่แล้ว

    keep going, you’re the best in term of making GNN simpler

  • @mominanjum2538
    @mominanjum2538 2 ปีที่แล้ว

    great intro to GNN much better than other videos.

  • @necuo25
    @necuo25 3 ปีที่แล้ว

    Great video! You convinced me to study GNN

  • @user-tg6ot1mb2i
    @user-tg6ot1mb2i 3 ปีที่แล้ว

    Like it !!! Very much