Research topic selection is a pivotal decision in a scholar’s academic trajectory, yet identifying viable topics remains challenging due to information overload within academic literature. To address these challenges, we propose a novel graph neural network–large language model synergy framework that systematically int...
Chao-Guang Huo, Zhao-Hui Liu, Ting-Ting Dan· Journal of information scien...· 0 citations
We present a dynamical-systems based model for resting-state functional magnetic resonance imaging (rs-fMRI), trained on a dataset of roughly 40K rs-fMRI sequences covering a wide variety of public and available-by-permission datasets. While most existing proposals use transformer backbones, we utilize multi-resolution...
Sourav Pal, V. Lương, Hoseok Lee et al.· 1 citation
This work introduces RCShift, which certifies two routes to sufficiency under a declared observation contract, and exact mode characterizes minimum-cost family-exact storage through LR-visible cycle directions through LR-visible cycle directions.
Shu-Heng Cao, Rui-Qi Chen, Zhen-Hao Zhang et al.· 0 citations
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