Tensor SimRank for Heterogeneous Information Networks
arXiv:1502.06818
Abstract
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.
Submited on KDD'15