Today Kate Storey-Fisher (NYU) and I spent more time working with Weichi Yao (NYU) and Soledad Villar (JHU) on creating a good, compact, but real test problem for gauge-invariant graph neural networks. We discussed a truly placeholder toy example in which we ask the network to figure out the identity of the most-gravitationally-bound point in a patch of a simulation. And we discussed a more real problem of inferring things about the occupation or locations of galaxies within the dark-matter field. Tomorrow Storey-Fisher and I will look at the IllustrisTNG simulations, which she has started to dissect into possible patches for Yao's model.
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