A U-GNN-parametrized reverse diffusion process generates conditional graph signals without explicit graph coarsening, demonstrated on S&P 500 forecasting and wireless resource allocation.
Neural graph collaborative filtering,
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Generative Diffusion Models of Stochastic Graph Signals
A U-GNN-parametrized reverse diffusion process generates conditional graph signals without explicit graph coarsening, demonstrated on S&P 500 forecasting and wireless resource allocation.