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anyone running graph neural networks in production ? what framework do you use ?
by sandGorgon 4y ago
anyone running graph neural networks in production ? what framework do you use ?
- dil8 4y agoCheck out dgl (https://github.com/dmlc/dgl https://github.com/dmlc/dgl). A lot of papers and algorithms are implemented in the examples section.
- amelius 4y agoIsn't this used for predicting protein folding/interactions?
- sandGorgon 4y agothat's like Google's experimental work. I mean Google & Facebook using something is kinda moot. Is anyone non-FAANG using it ?
- jeherr 4y agoAbsolutely. 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 https://github.com/aqlaboratory/openfold
- sandGorgon 4y agomy 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.