A graph-conditioned diffusion model learns to sample near-optimal wireless resource allocations by matching distributions from an expert primal-dual algorithm.
Diffu- sion models as network optimizers: Explorations and analy- sis,
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Graph Signal Diffusion Models for Wireless Resource Allocation
A graph-conditioned diffusion model learns to sample near-optimal wireless resource allocations by matching distributions from an expert primal-dual algorithm.