Abstract: Accurate stock prediction is a pressing challenge in quantitative finance, where complex temporal and cross-sectional dynamics defy traditional models. Although deep learning-based methods ...
Abstract: Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) ...