@article{jin2025expressive, title={Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting}, author={Ming Jin and Guangsi Shi and Yuan-Fang Li and Bo Xiong and Tian Zhou ...

Abstract: Hyperspectral image (HSI) clustering groups pixels into clusters without labeled data, which is an important yet challenging task. For large-scale HSIs, most methods rely on superpixel ...

Abstract: Deep-learning-based hyperspectral target detection methods commonly face challenges such as insufficient target samples and inadequate use of spatial context. To address these limitations, ...

Accurately predicting physicochemical and biological properties for molecules is of great significance for modern drug discovery, yet existing deep learning models often fail to emulate the holistic, ...

1 Department of Analytics, Harrisburg University of Science and Technology, Harrisburg, PA, United States 2 Department of Emergency Medicine, UMass Chan Medical School, Worcester, MA, United States ...

Objective: Although the beneficial impact of motivational climate on adolescent sport participation is well-established, key questions remain unresolved regarding its hierarchical mechanism and the ...