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
Eugenio AngrimanHumboldt University of BerlinVerified email at informatik.hu-berlin.de
Burkhard MonienProfessor für InformatikVerified email at upb.de
Aydın BuluçLawrence Berkeley National Laboratory and UC BerkeleyVerified email at lbl.gov
Moritz von LoozEuropean Space AgencyVerified email at esa.int
Timothy G MattsonSenior Principal engineer, Intel CorporationVerified email at intel.com
Thomas SauerwaldUniversity Lecturer in Computer Science, University of CambridgeVerified email at cl.cam.ac.uk
John R. GilbertProfessor Emeritus 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
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
Andrew LumsdaineUniversity of Washington; Pacific Northwest National LaboratoryVerified email at uw.edu
Jose MoreiraResearch Staff Member, IBMVerified email at us.ibm.com
Franz FranchettiCarnegie Mellon UniversityVerified email at ece.cmu.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	452	2013
Graph partitioning and graph clustering DA Bader, H Meyerhenke, P Sanders, D Wagner American Mathematical Soc., 2013	309*	2013
NetworKit: A Tool Suite for Large-scale Complex Network Analysis CL Staudt, A Sazonovs, H Meyerhenke Network Science, 2016	235*	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	209	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	205*	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	152	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	145	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	133*	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	82*	2016
Scalable Multi-threaded Community Detection in Social Networks J Riedy, DA Bader, H Meyerhenke Intl. Parallel & Distributed Processing Symposium Workshops (IPDPSW 2012), 2012	76	2012
Approximating betweenness centrality in large evolving networks E Bergamini, H Meyerhenke, CL Staudt SIAM ALENEX 2015, 2015	72	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	67*	2016
Approximating Betweenness Centrality in Fully-dynamic Networks E Bergamini, H Meyerhenke Internet Mathematics, 2016	65*	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	64	2011
Graph partitioning and disturbed diffusion H Meyerhenke, B Monien, S Schamberger Parallel Computing 35 (10-11), 544-569, 2009	62	2009
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	61	2015
Generating random hyperbolic graphs in subquadratic time M Looz, H Meyerhenke, R Prutkin International Symposium on Algorithms and Computation, 467-478, 2015	53*	2015
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	52	2016
Drawing large graphs by multilevel maxent-stress optimization H Meyerhenke, M Nöllenburg, C Schulz IEEE transactions on visualization and computer graphics 24 (5), 1814-1827, 2017	44	2017

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