A diffusion-contrastive GNN with virtual nodes reduces wind nowcasting MAE by 30-46% in unobserved regions on Netherlands station data compared to interpolation and regression baselines.
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PSCL separates anatomy from noise in pyramid latent spaces using self-contrastive learning on single-shot ultrasound data, yielding reported SNR gains of 69.3% (simulation) and 84.8% (in vivo) plus CNR gains.
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