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 Planning for Energy-Efficient Content Coverage: A Decentralized Learning-Based 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.