Before revision:  While existing NA methods are homogeneous (they can only account for a single node type and a single edge type) , we generalize  a state-of-the-art homogeneous graphlet-based NAmethod into its heterogeneous counterpart.
After revision:  While existing NA methods compute homogeneous graphlet-based node similarities and then find high-scoring alignments with respect to these similarities, while simultaneously maximizing the number of conserved edges. Instead, we generalize homogeneous graphlets to their heterogeneous counterparts, which we then use to develop a new measure of heterogeneous node similarity. Also , we generalize a state-of-the-art homogeneous graphlet-based NAmethod into its heterogeneous counterpart.