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[D] Transformer for non-NLP tasks (unordered sets)

Hi,I keep bumping into the problem of doing regression/classification on data where the input data is an unordered set. For instance a set of coordinates or a set of atoms or similar, where there is no obvious ordering of the atoms/points. PointNet can be used for these kinds of problems, but does not always perform well.

See for instance this post: https://www.kaggle.com/c/champs-scalar-coupling/discussion/106468#latest-646125

I was wondering if anyone could point me in the right direction on how to use the Transformer for this…

That is extract an embedding with shape (N, ) from a set of data with shape (M, N)

submitted by /u/maka89
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.