Higher-Order Explanations of Graph Neural Networks via Relevant Walks

Thomas Schnake, Oliver Eberle, Jonas Lederer +4

Graph Neural Networks (GNNs) are a popular approach for predicting graph structured data. As GNNs tightly entangle the input graph into the neural network structure, common explain…