Before revision:  GraphReach significantly outperforms the current state-of-the-art models and achieves an improvement of up to 31 and 11 percentage points, measured in ROC AUC, for the standard pairwise node classification and link prediction tasks, respectively .
After revision:  GraphReach significantly outperforms the current state-of-the-art GNN architectures reveal that GraphReach is consistently superior and provides up to 40\% relative improvement in the predictive tasks of link prediction and pairwise node classification and link prediction tasks, respectively .