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Graph Neural Networks (GNNs) have achieved remarkable success in learning from graph-structured data. However, recent studies have revealed their vulnerability to adversarial attacks, where imperceptible perturbations to the graph structure can easily mislead predictions. Existing defense methods predominantly rely on...
More than half of global primary energy is dissipated as low-grade waste heat, yet thermoelectric conversion remains constrained by the intrinsic coupling between phonon and charge transport. Here, we introduce graded interfacial size distribution as a thermodynamic design variable that breaks translational symmetry in...
Continuous noninvasive blood pressure monitoring is important for neonatal hemodynamic management. However, cuffless photoplethysmography (PPG) is still difficult to use clinically because acquisition-related errors and their effects on blood pressure estimation are not well understood. Most studies report only overall...
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