Before revision:  The proposed framework defines a GNN  model that learns the node rank on a small representative subset of nodes . Then, the trained model can be employed to predict the ranks of unseen nodes in similar types of graphs .
After revision:  The proposed framework defines a GNN model that learns the node rank on a small representative subset of nodes /links. An appropriately trained model can be employed to predict the ranks of unseen nodes in similar types of graphs .