Search Results for author: Kyle Kloster

Found 3 papers, 2 papers with code

AptRank: An Adaptive PageRank Model for Protein Function Prediction on Bi-relational Graphs

1 code implementation21 Jan 2016 Biaobin Jiang, Kyle Kloster, David F. Gleich, Michael Gribskov

Diffusion-based network models are widely used for protein function prediction using protein network data and have been shown to outperform neighborhood- and module-based methods.

Molecular Networks Social and Information Networks 92-08

Seeded PageRank Solution Paths

no code implementations1 Mar 2015 Kyle Kloster, David F. Gleich

We study the behavior of network diffusions based on the PageRank random walk from a set of seed nodes.

Social and Information Networks 91D30 (Primary) I.5.3; G.1.3; F.2.2

Heat kernel based community detection

1 code implementation13 Mar 2014 Kyle Kloster, David F. Gleich

On a real-world community identification task, the heat kernel communities perform better than those from the PageRank diffusion.

Social and Information Networks Data Structures and Algorithms Physics and Society 91D30 (Primary) I.5.3

Cannot find the paper you are looking for? You can Submit a new open access paper.