GC-LPR decouples context C for weighting from Z for fitting via product kernels, enabling non-Euclidean modulation of local polynomial estimates while preserving Euclidean bias reduction.
Chickenpox cases in hun- gary: A benchmark dataset for spatiotemporal signal processing with graph neural networks
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Generalized Local Polynomial Regression with Decomposed Context-Aware Kernels
GC-LPR decouples context C for weighting from Z for fitting via product kernels, enabling non-Euclidean modulation of local polynomial estimates while preserving Euclidean bias reduction.