Neural Proposals, Symbolic Guarantees: Neuro-Symbolic Graph Generative Modeling

While deep generative models excel at capturing graph data distributions, they struggle to satisfy complex, hard constraints. In unconstrained settings, these models typically produce valid topologies; yet imposing strict compositional rules, like those in drug discovery, creates an out-of-distribut