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    #71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]

    #71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]

    FromMachine Learning Street Talk (MLST)

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    #71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]

    FromMachine Learning Street Talk (MLST)

    ratings:
    Length:
    63 minutes
    Released:
    Mar 25, 2022
    Format:
    Podcast episode

    Description

    Special discount link for Zak's GNN course - https://bit.ly/3uqmYVq
    Patreon: https://www.patreon.com/mlst
    Discord: https://discord.gg/ESrGqhf5CB
    YT version: https://youtu.be/jAGIuobLp60 (there are lots of helper graphics there, recommended if poss)

    Want to sponsor MLST!? Let us know on Linkedin / Twitter. 

    [00:00:00] Preamble
    [00:03:12] Geometric deep learning
    [00:10:04] Message passing
    [00:20:42] Top down vs bottom up
    [00:24:59] All NN architectures are different forms of information diffusion processes (squashing and smoothing problem)
    [00:29:51] Graph rewiring
    [00:31:38] Back to information diffusion 
    [00:42:43] Transformers vs GNNs
    [00:47:10] Equivariant subgraph aggregation networks + WL test
    [00:55:36] Do equivariant layers aggregate too?
    [00:57:49] Zak's GNN course

    Exhaustive list of references on the YT show URL (https://youtu.be/jAGIuobLp60)
    Released:
    Mar 25, 2022
    Format:
    Podcast episode

    Titles in the series (100)

    This is the audio podcast for the ML Street Talk YouTube channel at https://www.youtube.com/c/MachineLearningStreetTalk Thanks for checking us out! We think that scientists and engineers are the heroes of our generation. Each week we have a hard-hitting discussion with the leading thinkers in the AI space. Street Talk is unabashedly technical and non-commercial, so you will hear no annoying pitches. Corporate- and MBA-speak is banned on street talk, "data product", "digital transformation" are banned, we promise :) Dr. Tim Scarfe, Dr. Yannic Kilcher and Dr. Keith Duggar.