1.3k citations · 2.2k across the 67 of their papers we have counts for
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Triangular Alignment (TAME): A Tensor-based Approach for Higher-order Network Alignment
Shahin Mohammadi, David Gleich, Tamara Kolda +1
Network alignment has extensive applications in comparative interactomics. Traditional approaches aim to simultaneously maximize the number of conserved edges and the underlying si…
Localization in Seeded PageRank
David F. Gleich, Kyle Kloster, Huda Nassar
Seeded PageRank is an important network analysis tool for identifying and studying regions nearby a given set of nodes, which are called seeds. The seeded PageRank vector is the st…
Seeded PageRank Solution Paths
Kyle Kloster, David F. Gleich
We study the behavior of network diffusions based on the PageRank random walk from a set of seed nodes. These diffusions are known to reveal small, localized clusters (or communiti…
Tensor Spectral Clustering for Partitioning Higher-order Network Structures
Austin R. Benson, David F. Gleich, Jure Leskovec
Spectral graph theory-based methods represent an important class of tools for studying the structure of networks. Spectral methods are based on a first-order Markov chain derived f…
A Parallel Min-Cut Algorithm using Iteratively Reweighted Least Squares
Yao Zhu, David F. Gleich
We present a parallel algorithm for the undirected -mincut problem with floating-point valued weights. Our overarching algorithm uses an iteratively reweighted least squares f…