Henning Meyerhenke

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Christian SchulzProfessor of Computer Science, Heidelberg UniversityVerified email at informatik.uni-heidelberg.de
Peter SandersProfessor of Computer Science, Karlsruhe Institute of TechnologyVerified email at kit.edu
David A. BaderDistinguished Professor, New Jersey Institute of TechnologyVerified email at njit.edu
Dorothea WagnerProfessor of Computer Science, Karlsruhe Institute of Technology (KIT)Verified email at kit.edu
Ilya SafroAssociate Professor of Computer Science, University of DelawareVerified email at udel.edu
Jason RiedyMember Technical Staff, Lucata CorporationVerified email at acm.org
Burkhard MonienProfessor für InformatikVerified email at upb.de
Eugenio AngrimanHumboldt University of BerlinVerified email at informatik.hu-berlin.de
Moritz von LoozEuropean Space AgencyVerified email at esa.int
Aydın BuluçLawrence Berkeley National Laboratory and UC BerkeleyVerified email at lbl.gov
Thomas SauerwaldUniversity Lecturer in Computer Science, University of CambridgeVerified email at cl.cam.ac.uk
Timothy G MattsonSenior Principal engineer, Intel CorporationVerified email at intel.com
Aleksejs SazonovsWellcome Trust Sanger Institute, University of CambridgeVerified email at cam.ac.uk
Martin NöllenburgProfessor, Algorithms and Complexity Group, TU WienVerified email at ac.tuwien.ac.at
Michael HamannXWiki SASVerified email at xwiki.com
John R. GilbertProfessor of Computer Science, University of California at Santa BarbaraVerified email at cs.ucsb.edu
Jeremy KepnerMIT Lincoln Laboratory Supercomputing CenterVerified email at ll.mit.edu
Dimitar LukarskiPARALUTION LabsVerified email at lukarski.com
Pierluigi CrescenziProfessor of Computer Science, GSSI, L'Aquila, ItalyVerified email at gssi.it
Andrew LumsdaineUniversity of Washington; Pacific Northwest National LaboratoryVerified email at uw.edu

Henning Meyerhenke

Professor of Computer Science, HU Berlin

Verified email at hu-berlin.de - Homepage

Scalable graph algorithms complex network analysis combinatorial scientific computing


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Recent advances in graph partitioning A Buluç, H Meyerhenke, I Safro, P Sanders, C Schulz Algorithm Engineering, LNCS 9220, 2013	433	2013
Graph partitioning and graph clustering DA Bader, H Meyerhenke, P Sanders, D Wagner American Mathematical Soc., 2013	303*	2013
NetworKit: A Tool Suite for Large-scale Complex Network Analysis CL Staudt, A Sazonovs, H Meyerhenke Network Science, 2016	221*	2016
Mathematical foundations of the GraphBLAS J Kepner, P Aaltonen, D Bader, A Buluç, F Franchetti, J Gilbert, ... HPEC 2016, also as arXiv preprint arXiv:1606.05790, 2016	199	2016
Engineering Parallel Algorithms for Community Detection in Massive Networks C Staudt, H Meyerhenke IEEE Transaction on Parallel and Distributed Systems 27 (1), 171-184, 2016	199*	2016
Benchmarking for Graph Clustering and Partitioning DA Bader, A Kappes, H Meyerhenke, P Sanders, C Schulz, D Wagner Encyclopedia of Social Network Analysis and Mining, 2014	148	2014
Parallel graph partitioning for complex networks H Meyerhenke, P Sanders, C Schulz IEEE Transactions on Parallel and Distributed Systems 28 (9), 2625-2638, 2017	140	2017
A new diffusion-based multilevel algorithm for computing graph partitions H Meyerhenke, B Monien, T Sauerwald Journal of Parallel and Distributed Computing 69 (9), 750-761, 2009	135*	2009
Parallel community detection for massive graphs EJ Riedy, H Meyerhenke, D Ediger, DA Bader International Conference on Parallel Processing and Applied Mathematics, 286-296, 2011	97	2011
Partitioning (hierarchically clustered) complex networks via size-constrained graph clustering H Meyerhenke, P Sanders, C Schulz Journal of Heuristics 22 (5), 759-782, 2016	81*	2016
Scalable Multi-threaded Community Detection in Social Networks J Riedy, DA Bader, H Meyerhenke Intl. Parallel & Distributed Processing Symposium Workshops (IPDPSW 2012), 2012	71	2012
Approximating betweenness centrality in large evolving networks E Bergamini, H Meyerhenke, CL Staudt SIAM ALENEX 2015, 2015	70	2015
Structure-preserving sparsification methods for social networks M Hamann, G Lindner, H Meyerhenke, CL Staudt, D Wagner Social Network Analysis and Mining 6 (1), 1-22, 2016	62*	2016
Approximating Betweenness Centrality in Fully-dynamic Networks E Bergamini, H Meyerhenke Internet Mathematics, 2016	61*	2016
Tracking structure of streaming social networks D Ediger, J Riedy, DA Bader, H Meyerhenke 2011 IEEE International Symposium on Parallel and Distributed Processing …, 2011	61	2011
Graphs, Matrices, and the GraphBLAS: Seven Good Reasons J Kepner, DA Bader, A Buluç, J Gilbert, T Mattson, H Meyerhenke arXiv preprint arXiv:1504.01039, 2015	59	2015
Graph partitioning and disturbed diffusion H Meyerhenke, B Monien, S Schamberger Parallel Computing 35 (10-11), 544-569, 2009	59	2009
Computing Top-k Closeness Centrality Faster in Unweighted Graphs E Bergamini, M Borassi, P Crescenzi, A Marino, H Meyerhenke SIAM Algorithms and Experiments (ALENEX 2016), 2016	50	2016
Generating random hyperbolic graphs in subquadratic time M Looz, H Meyerhenke, R Prutkin International Symposium on Algorithms and Computation, 467-478, 2015	50*	2015
A distributed diffusive heuristic for clustering a virtual P2P supercomputer J Gehweiler, H Meyerhenke 2010 IEEE International Symposium on Parallel & Distributed Processing …, 2010	44	2010

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