Tag: note
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A Short Note on Upper Bounds for Graph Neural Operator Convergence Rate
A Short Note on Upper Bounds for Graph Neural Operator Convergence Rate arXiv:2510.20954v1 Announce Type: new Abstract: Graphons, as limits of graph sequences, provide a framework for analyzing the asymptotic behavior of graph neural operators. Spectral convergence of sampled graphs to graphons yields operator-level convergence rates, enabling transferability analyses of GNNs. This note summarizes known…