Tensor SimRank for Heterogeneous Information Networks
  We propose a generalization of SimRank similarity measure for heterogeneous
information networks. Given the information network, the intraclass similarity
score s(a, b) is high if the set of objects that are related with a and the set
of objects that are related with b are pair-wise similar according to all
imposed relations.
