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Ask HN: Cohabitation of PyTorch and a Graph DB

I've been thinking about developing a tool that would help to transform the graph DB data into a Pytorch dataset and use it with a custom model. Are there some red flags that I should have in mind regarding this tight coupling between ML and DB?
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