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I've been reading this blog (https://deepmind.com/blog/article/Causal_Bayesian_Networks) and am just getting into Causal inference.

I have a question regarding causal network graphs. Let's say given data, how exactly are causal network graphs generated? How does it know which features are causal to other features?

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