Reinforcement Learning for Graph Generation under a Hard Assortativity Constraint.

arXiv:2605.23285v2 Announce Type: replace-cross Abstract: Generating graph ensembles with precisely controlled structural properties is central to investigating how network structure shapes function. Canonical ensembles impose constraints only in expectation (