Generalization Bounds for Spectral GNNs via Fourier Domain Analysis
Generalization Bounds for Spectral GNNs via Fourier Domain Analysis explores Develops theoretical generalization bounds for spectral graph neural networks by analyzing their behavior in the graph Fourier domain.. Commercial viability score: 1/10 in Graph Neural Networks.
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