The performance of the optimized SEAL model is presented in Table . Here, we have also included a comparison with three heuristic baselines: Common neighbors, Adamic-Adar similarity and Jaccard similarity. Based on these results, the SEAL model outperforms these simpler heuristic methods. For this reason, the SEAL model has been used for the link prediction task going forward. After the cross-validation, one of the five SEAL models was randomly selected to be employed in the next steps. This model achieved a ROC-AUC score of 0.859 on the validation set a ROC-AUC score of 0.861 on the test set.