AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The Graph Spectral Neural Operator is introduced, a neural operator that combines spatial graph spectral decompositions with temporal Fourier transforms through a unified space--time spectral kernel that enables globally coherent operator learning on non-Cartesian discretizations without domain warping or autoregressiv...
Results support sampled sensitivity supervision as a practical way to improve neural PDE surrogates when forward accuracy, inverse stability, robustness, and computational cost must be considered together.
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