This paper introduces $\textit{graph diffusion policy optimization}$ (GDPO), a novel approach to optimize graph diffusion models for arbitrary (e.g., non-differentiable) objectives using reinforcement learning. GDPO is based on an $\textit{eager policy gradient}$ tailored for graph diffusion…
