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East China Normal University
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Guaranteeing charge balance in generated amorphous materials is now possible without sacrificing design accuracy, thanks to AMGenC's novel element noise and projection techniques.
By explicitly aligning the graph structures of predicted and actual time series correlations, GCGNet achieves superior forecasting accuracy in noisy, real-world datasets compared to methods that model temporal and channel dependencies separately.
Forget static agent communication structures: ST-EVO dynamically reshapes multi-agent dialogue flows in both space and time, boosting accuracy by up to 25%.
