This comparison is important for understanding if the concept of out-of-distribution varies between these two model types. We first present the results aggregated and averaged across all the models (Table ). This is followed by the comparative analysis of classical ML and GNN models (Table , Figure , and Figure ). 1 Performance is averaged over replications and models that are included in classical ML and GNN categories.