Why I'm Lukewarm on Graph Neural Networks

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • weighscore

    A Neural Network engine (old project from 2006)

  • I tried to implement a graph neural network back in 2006...

    https://github.com/fedd/weighscore

  • nodevectors

    Fastest network node embeddings in the west

  • As expected, networkx couldn't handle more than a million nodes so I had to search for python libs which might handle that much data.

    This is why I've been using your lib (https://github.com/VHRanger/nodevectors) for at least 2 weeks now as well as these 2 other libs: https://github.com/louisabraham/fastnode2vec and https://github.com/sknetwork-team/scikit-network. What do they have in common? They handle sparse graphs (using CSR representations).

    Having a graph with several million nodes isn't just some edge case, social graph for instance grow way faster than anyone could expect.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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