I don’t think this looks bad at all. I would probably push for A100 80gb gpu’s instead and the latest gen 64-core threadripper.

Could you elaborate on what this pair is? It’s not clear to me what the entries are.

Is your “quality” known for each graph? If so, I recon you could do this by simply building a convolutional graph neural network and phrase this as a regression problem (assuming quality is a float).

I could not possibly advise you on this. I don’t know the contents of the courses. Generally speaking; if you know what a Gaussian distribution is, how to calculate gradients, integrate a function and multiply matrices - then you’re off to a good start.

Ideally, you need both. But If you have to choose, then I’d recommend statistics. Just make sure you understand derivatives, gradients and integrals.