Kyle Kloster

Publication Activity (10 Years)

Years Active: 2013-2019
Publications (10 Years): 11

Top Topics

Community Detection

Eigendecomposition

Top Venues

Publications

Erik D. Demaine, Timothy D. Goodrich, Kyle Kloster, Brian Lavallee, Quanquan C. Liu, Blair D. Sullivan, Ali Vakilian, Andrew van der Poel
Structural Rounding: Approximation Algorithms for Graphs Near an Algorithmically Tractable Class. ESA (2019)
Kyle Kloster, Blair D. Sullivan, Andrew van der Poel
Mining Maximal Induced Bicliques using Odd Cycle Transversals. SDM (2019)
Kyle Kloster, Philipp Kuinke, Michael P. O'Brien, Felix Reidl, Fernando Sánchez Villaamil, Blair D. Sullivan, Andrew van der Poel
A practical fpt algorithm for Flow Decomposition and transcript assembly. ALENEX (2018)
Kyle Kloster, Blair D. Sullivan, Andrew van der Poel
Mining Maximal Induced Bicliques using Odd Cycle Transversals. CoRR (2018)
Eric Horton, Kyle Kloster, Blair D. Sullivan
When Centrality Measures Deceive Us. CoRR (2018)
Yixuan Li, Kun He, Kyle Kloster, David Bindel, John E. Hopcroft
Local Spectral Clustering for Overlapping Community Detection. ACM Trans. Knowl. Discov. Data 12 (2) (2018)
Erik D. Demaine, Timothy D. Goodrich, Kyle Kloster, Brian Lavallee, Quanquan C. Liu, Blair D. Sullivan, Ali Vakilian, Andrew van der Poel
Structural Rounding: Approximation Algorithms for Graphs Near an Algorithmically Tractable Class. CoRR (2018)
Kyle Kloster, Philipp Kuinke, Michael P. O'Brien, Felix Reidl, Fernando Sánchez Villaamil, Blair D. Sullivan, Andrew van der Poel
A practical fpt algorithm for Flow Decomposition and transcript assembly. CoRR (2017)
Biaobin Jiang, Kyle Kloster, David F. Gleich, Michael Gribskov
AptRank: an adaptive PageRank model for protein function prediction on bi-relational graphs. Bioinform. 33 (12) (2017)
Biaobin Jiang, Kyle Kloster, David F. Gleich, Michael Gribskov
AptRank: an adaptive PageRank model for protein function prediction on bi-relational graphs. CoRR (2016)
Kyle Kloster, Yixuan Li
Scalable and Robust Local Community Detection via Adaptive Subgraph Extraction and Diffusions. CoRR (2016)
Kyle Kloster, David F. Gleich
Personalized PageRank Solution Paths. CoRR (2015)
Huda Nassar, Kyle Kloster, David F. Gleich
Strong Localization in Personalized PageRank Vectors. CoRR (2015)
David F. Gleich, Kyle Kloster
Sublinear Column-wise Actions of the Matrix Exponential on Social Networks. Internet Math. 11 (4-5) (2015)
Huda Nassar, Kyle Kloster, David F. Gleich
Strong Localization in Personalized PageRank Vectors. WAW (2015)
Kyle Kloster, David F. Gleich
Heat kernel based community detection. CoRR (2014)
Kyle Kloster, David F. Gleich
Heat kernel based community detection. KDD (2014)
Kyle Kloster, David F. Gleich
A Nearly-Sublinear Method for Approximating a Column of the Matrix Exponential for Matrices from Large, Sparse Networks. WAW (2013)
Kyle Kloster, David F. Gleich
A Fast Relaxation Method for Computing a Column of the Matrix Exponential of Stochastic Matrices from Large, Sparse Networks. CoRR (2013)