An Attempt at Demystifying Graph Deep Learning - Essays on Data Science

Resource | v1 | created by jjones |
Type Article
Created 2021-07-19
Identifier unavailable


There are a ton of great explainers of what graph neural networks are. However, I find that a lot of them go pretty deep into the math pretty quickly. Yet, we still are faced with that age-old problem: where are all the pics?? As such, just as I had attempted with Bayesian deep learning, I'd like to try to demystify graph deep learning as well, using every tool I have at my disposal to minimize the number of equations and maximize intuition using pictures. Here's my attempt, I hope you find it useful!


has prerequisite Deep learning

Deep learning (also known as deep structured learning) is part of a broader family of machine learnin...

about Graph neural network

A graph neural network (GNN) is a class of neural networks for processing data represented by graph d...

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8 rating 1 level 10 clarity 3 user's background

Goes from basics
Does not deal much with node classification and other tasks