Excess risk of SGD and ridge regression on GNNs is characterized through graph spectra, showing graph shape decides which algorithm generalizes better and deeper networks amplify the difference.
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On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks
Excess risk of SGD and ridge regression on GNNs is characterized through graph spectra, showing graph shape decides which algorithm generalizes better and deeper networks amplify the difference.