640 citations · 3.8k across the 44 of their papers we have counts for
6 papers · 1 filter
Community structure and scale-free collections of Erdös-Rényi graphs
C. Seshadhri, Tamara G. Kolda, Ali Pinar
Community structure plays a significant role in the analysis of social networks and similar graphs, yet this structure is little understood and not well captured by most models. We…
On Tensors, Sparsity, and Nonnegative Factorizations
Eric C. Chi, Tamara G. Kolda
Tensors have found application in a variety of fields, ranging from chemometrics to signal processing and beyond. In this paper, we consider the problem of multilinear modeling of…
The Similarity between Stochastic Kronecker and Chung-Lu Graph Models
Ali Pinar, C. Seshadhri, Tamara G. Kolda
The analysis of massive graphs is now becoming a very important part of science and industrial research. This has led to the construction of a large variety of graph models, each w…
All-at-once Optimization for Coupled Matrix and Tensor Factorizations
Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy
Joint analysis of data from multiple sources has the potential to improve our understanding of the underlying structures in complex data sets. For instance, in restaurant recommend…
COMET: A Recipe for Learning and Using Large Ensembles on Massive Data
Justin D. Basilico, M. Arthur Munson, Tamara G. Kolda +2
COMET is a single-pass MapReduce algorithm for learning on large-scale data. It builds multiple random forest ensembles on distributed blocks of data and merges them into a mega-en…
An In-Depth Analysis of Stochastic Kronecker Graphs
C. Seshadhri, Ali Pinar, Tamara G. Kolda
Graph analysis is playing an increasingly important role in science and industry. Due to numerous limitations in sharing real-world graphs, models for generating massive graphs are…