LearningTheoryCan(Sometimes)Explain GeneralisationinGraphNeuralNetworks

In recent years, several results in the supervised learning setting suggested that classical statistical learning-theoretic measures, such as VC dimension, do not adequately explain the performance of deep learning models which prompted a slew of work in the infinite-width and iteration regimes.