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cs.LG2024
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification
S. Akansha
Graph Neural Networks (GNNs) have emerged as powerful tools for predicting outcomes in graph-structured data. However, a notable limitation of GNNs is their inability to provide ro…
math.NA2024★ 1 cited
Exploring Chebyshev Polynomial Approximations: Error Estimates for Functions of Bounded Variation
S Akansha
Approximation theory plays a central role in numerical analysis, undergoing continuous evolution through a spectrum of methodologies. Notably, Lebesgue, Weierstrass, Fourier, and C…