arXiv stat.ML
· Papers
Learning the Graphical Nature of Symmetries
arXiv:2607.12026v1 Announce Type: new Abstract: Finite groups are rigid algebraic objects, whose Cayley graphs expose a rich network geometry through which group-theoretic structure can be measured, compared, and learned. In this paper, a dataset of $131{,}406$ Cayley graphs is constructed, covering all groups of order