Before revision:  We then use the SST framework to create link prediction models for both static and temporal, directed and undirected graphs which produce highly interpretable results that simultaneously match state of the art graph neural network performance .
After revision:  We then use the SST framework to create link prediction models for both static and temporal, directed and undirected graphs which produce highly interpretable results that simultaneously match state of the art graph neural network models, thereby validating the correctness and meaningfulness of our interpretable results .