A graph diffusion model trained on suboptimal heuristic solutions matches or beats solvers and discriminative baselines on the multi-server computation offloading problem, with claimed near-optimal convergence.
Multi-UA V Trajectory and Power Opti- mization for Cached UA V Wireless Networks With Energy and Content Recharging-Demand Driven Deep Learning Approach,
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GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networks
A graph diffusion model trained on suboptimal heuristic solutions matches or beats solvers and discriminative baselines on the multi-server computation offloading problem, with claimed near-optimal convergence.