First multipoint L1 observations reveal spatially varying MHD turbulence with strong anisotropies, shock-modified sheath regions, and compressible signatures in the October 2024 ICME.
HiSTGNN : Hierarchical Spatio-Temporal Graph Neural Network for Weather Forecasting
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ACT disentangles temporal scales in stock sequences and purifies structural relations in graphs to achieve state-of-the-art cross-sectional stock ranking on CSI300 and CSI500 with up to 74.25% improvement.
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Unprecedented Multipoint Observation of Spatially Varying ICME Turbulence of Different Ages during October 2024 Extreme Solar Storm at 1 AU
First multipoint L1 observations reveal spatially varying MHD turbulence with strong anisotropies, shock-modified sheath regions, and compressible signatures in the October 2024 ICME.
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ACT: Anti-Crosstalk Learning for Cross-Sectional Stock Ranking via Temporal Disentanglement and Structural Purification
ACT disentangles temporal scales in stock sequences and purifies structural relations in graphs to achieve state-of-the-art cross-sectional stock ranking on CSI300 and CSI500 with up to 74.25% improvement.