Kyle Kloster

According to our database, Kyle Kloster authored at least 13 papers between 2013 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2019

Mining Maximal Induced Bicliques using Odd Cycle Transversals.

Kyle Kloster, Blair D. Sullivan, Andrew van der Poel

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Structural Rounding: Approximation Algorithms for Graphs Near an Algorithmically Tractable Class.

Erik D. Demaine, Timothy D. Goodrich, Kyle Kloster, Brian Lavallee, Quanquan C. Liu, Blair D. Sullivan, Ali Vakilian, Andrew van der Poel

Proceedings of the 27th Annual European Symposium on Algorithms, 2019

2018

Local Spectral Clustering for Overlapping Community Detection.

Yixuan Li, Kun He, Kyle Kloster, David Bindel, John E. Hopcroft

ACM Trans. Knowl. Discov. Data, 2018

When Centrality Measures Deceive Us.

Eric Horton, Kyle Kloster, Blair D. Sullivan

CoRR, 2018

A practical fpt algorithm for Flow Decomposition and transcript assembly.

Kyle Kloster, Philipp Kuinke, Michael P. O'Brien, Felix Reidl, Fernando Sánchez Villaamil, Blair D. Sullivan, Andrew van der Poel

Proceedings of the Twentieth Workshop on Algorithm Engineering and Experiments, 2018

2017

AptRank: an adaptive PageRank model for protein function prediction on bi-relational graphs.

Biaobin Jiang, Kyle Kloster, David F. Gleich, Michael Gribskov

Bioinform., 2017

2016

Scalable and Robust Local Community Detection via Adaptive Subgraph Extraction and Diffusions.

Kyle Kloster, Yixuan Li

CoRR, 2016

2015

Sublinear Column-wise Actions of the Matrix Exponential on Social Networks.

David F. Gleich, Kyle Kloster

Internet Math., 2015

Personalized PageRank Solution Paths.

Kyle Kloster, David F. Gleich

CoRR, 2015

Strong Localization in Personalized PageRank Vectors.

Huda Nassar, Kyle Kloster, David F. Gleich

Proceedings of the Algorithms and Models for the Web Graph - 12th International Workshop, 2015

2014

Heat kernel based community detection.

Kyle Kloster, David F. Gleich

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

A Fast Relaxation Method for Computing a Column of the Matrix Exponential of Stochastic Matrices from Large, Sparse Networks.

Kyle Kloster, David F. Gleich

CoRR, 2013

A Nearly-Sublinear Method for Approximating a Column of the Matrix Exponential for Matrices from Large, Sparse Networks.

Kyle Kloster, David F. Gleich

Proceedings of the Algorithms and Models for the Web Graph - 10th International Workshop, 2013