Interestingly, the average similarity of D-CGCNN is in-between, achieving the best (moderate) prediction accuracy for IS2RE (RS2RE). Note that the same trend was observed as well for WBM dataset (Figure ). These results highlight that D-CGCNN is ideally suited to the IS2RE task due to appropriate graph similarities between IS and RS.