Highly Influenced

@article{Mohammadi2017TriangularA, title={Triangular Alignment (TAME): A Tensor-Based Approach for Higher-Order Network Alignment}, author={Shahin Mohammadi and David F. Gleich and Tamara G. Kolda and Ananth Y. Grama}, journal={IEEE/ACM Transactions on Computational Biology and Bioinformatics}, year={2017}, volume={14}, pages={1446-1458} }

- Published 2017 in IEEE/ACM Transactions on Computational Biology…
DOI:10.1109/TCBB.2016.2595583

Network alignment has extensive applications in comparative interactomics. Traditional approaches aim to simultaneously maximize the number of conserved edges and the underlying similarity of aligned entities. We propose a novel formulation of the network alignment problem that extends topological similarity to higher-order structures and provides a new objective function that maximizes the number of aligned substructures. This objective function corresponds to an integer programming problem… CONTINUE READING