Abstract: Graph neural networks (GNNs) have become the prevailing methodology for addressing graph data-related tasks, permeating critical domains like recommendation systems and drug development. The ...
Abstract: The electrocardiogram (ECG) signal, a promising trait in biometrics, has been extensively studied. While the deep learning-based model has demonstrated strong performance for ECG biometrics, ...
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