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.
@article{arxiv.1502.06818,
title = {Tensor SimRank for Heterogeneous Information Networks},
author = {Ben Usman and Ivan Oseledets},
journal= {arXiv preprint arXiv:1502.06818},
year = {2015}
}