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A comment on Beyond message passing: A physics-inspired paradigm for graph neural networks. Parent comment

Re:Beyond message passing: A physics-inspired paradigm for g... by jeherr on Wednesday May 11, 2022 @09:35AM (#31339732)
Absolutely. Protein folding has been worked on by a large part of the scientific community for a long time and they're not going to look at a breakthrough like that and just ignore it. Pharma companies will be putting significant resources towards this research as well.

Here is an open source implementation of AlphaFold from an academic at Columbia.

https://github.com/aqlaboratory/openfold

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Re:Beyond message passing: A physics-inspired paradigm for g... by sandGorgon on Wednesday May 11, 2022 @10:19AM (#31340336)
my apologies for my language - i was still referring to GNN in general production use. I do see a lot of cool research coming out ... but i still dont see much in production.

Even alipay uses a plain vanilla word2vec + xgboost for its graph based fraud detection.

Is anyone running anything related to GNN in production ?

this is a critical question because if the tooling isnt available ... all these cool research will actually not go live. And that's what im seeing today.

Not a ding on the researchers...but something to think about.

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