A Generalized Tikhonov Layer for Interpretable-by-design Graph Neural Networks

Nicolas Tremblay, Benjamin Ricaud, Filippo Maria Bianchi

We propose the Tikhonov layer, a graph neural network layer that is interpretable by design: once trained, its learned parameters directly reveal which node features and which aspe…