Henning Meyerhenke

187 papers A 19B 19C 6Misc 3Journal 103Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Methodology of Algorithm Engineering. ACM Comput. Surv. Jan Mendling, Henrik Leopold, Henning Meyerhenke, Benoît Depaire
2025	B	`conf`	Carbon-Aware Workflow Scheduling with Fixed Mapping and Deadline Constraint. ICPP Dominik Schweisgut, Anne Benoit, Yves Robert, Henning Meyerhenke
2025	J	`jnl`	Carbon-Aware Workflow Scheduling with Fixed Mapping and Deadline Constraint. CoRR Dominik Schweisgut, Anne Benoit, Yves Robert, Henning Meyerhenke
2025	J	`jnl`	Generic network sparsification via hybrid edge sampling. J. Frankl. Inst. Zhen Su, Jürgen Kurths, Henning Meyerhenke
2025	J	`jnl`	Memory-aware Adaptive Scheduling of Scientific Workflows on Heterogeneous Architectures. CoRR Svetlana Kulagina, Anne Benoit, Henning Meyerhenke
2025	J	`jnl`	Online Popularity Prediction Service via Minimal Substitution Reinforcement Learning for Social Networks. IEEE Trans. Serv. Comput. Ranran Wang, Yin Zhang, Henning Meyerhenke, Zhiliang Feng, Sabita Maharjan, Yan Zhang
2025	—	`conf`	Optimization of Infrastructure Network Maintenance: Complexity, Exact Solutions, and a Greedy Heuristic. ACDA Lukas Berner, Felix L. Heitmann, Henning Meyerhenke
2025	J	`jnl`	Predicting the Performance of Scientific Workflow Tasks for Cluster Resource Management: An Overview of the State of the Art. CoRR Jonathan Bader, Kathleen West, Sören Becker, Svetlana Kulagina, Fabian Lehmann, Lauritz Thamsen, Henning Meyerhenke, Odej Kao
2025	—	`conf`	ScaleRunner: A Fast MPI-Based Random Walk Engine for Multi-CPU Systems. Euro-Par (3) Florian Willich, Henning Meyerhenke
2024	J	`jnl`	A Fully-dynamic Approximation Algorithm for Maximum Weight b-Matchings in Graphs. CoRR Fabian Brandt-Tumescheit, Frieda Gerharz, Henning Meyerhenke
2024	J	`jnl`	Generic network sparsification via degree- and subgraph-based edge sampling. Inf. Sci. Zhen Su, Yang Liu, Jürgen Kurths, Henning Meyerhenke
2024	—	`conf`	Introducing Total Harmonic Resistance for Graph Robustness Under Edge Deletions. ECML/PKDD (6) Lukas Berner, Henning Meyerhenke
2024	J	`jnl`	Introducing Total Harmonic Resistance for Graph Robustness under Edge Deletions. CoRR Lukas Berner, Henning Meyerhenke
2024	J	`jnl`	Mapping Large Memory-constrained Workflows onto Heterogeneous Platforms. CoRR Svetlana Kulagina, Henning Meyerhenke, Anne Benoit
2024	B	`conf`	Mapping Large Memory-constrained Workflows onto Heterogeneous Platforms✱. ICPP Svetlana Kulagina, Henning Meyerhenke, Anne Benoit
2023	J	`jnl`	Greedy Optimization of Resistance-based Graph Robustness with Global and Local Edge Insertions. CoRR Maria Predari, Lukas Berner, Robert Kooij, Henning Meyerhenke
2023	J	`jnl`	Greedy optimization of resistance-based graph robustness with global and local edge insertions. Soc. Netw. Anal. Min. Maria Predari, Lukas Berner, Robert Kooij, Henning Meyerhenke
2023	J	`jnl`	Mapping tree-shaped workflows on systems with different memory sizes and processor speeds. Concurr. Comput. Pract. Exp. Svetlana Kulagina, Henning Meyerhenke, Anne Benoit
2023	J	`jnl`	Methodology of Algorithm Engineering. CoRR Jan Mendling, Henrik Leopold, Henning Meyerhenke, Benoît Depaire
2023	J	`jnl`	More Recent Advances in (Hyper)Graph Partitioning. ACM Comput. Surv. Ümit V. Çatalyürek, Karen D. Devine, Marcelo Fonseca Faraj, Lars Gottesbüren, Tobias Heuer, Henning Meyerhenke, Peter Sanders, Sebastian Schlag, Christian Schulz, Daniel Seemaier, Dorothea Wagner
2023	J	`jnl`	Network Sparsification via Degree- and Subgraph-based Edge Sampling. CoRR Zhen Su, Jürgen Kurths, Henning Meyerhenke
2023	J	`jnl`	Scalable Graph Mining and Learning (Dagstuhl Seminar 23491). Dagstuhl Reports Danai Koutra, Henning Meyerhenke, Ilya Safro, Fabian Brandt-Tumescheit
2022	J	`jnl`	A Batch-dynamic Suitor Algorithm for Approximating Maximum Weighted Matching. ACM J. Exp. Algorithmics Eugenio Angriman, Michal Boron, Henning Meyerhenke
2022	—	`ch.`	Algorithms for Large-Scale Network Analysis and the NetworKit Toolkit. Algorithms for Big Data Eugenio Angriman, Alexander van der Grinten, Michael Hamann, Henning Meyerhenke, Manuel Penschuck
2022	J	`jnl`	Algorithms for Large-scale Network Analysis and the NetworKit Toolkit. CoRR Eugenio Angriman, Alexander van der Grinten, Michael Hamann, Henning Meyerhenke, Manuel Penschuck
2022	C	`conf`	An MPI-Parallel Algorithm for Static and Dynamic Top-k Harmonic Centrality. SBAC-PAD Alexander van der Grinten, Geert Custers, Duy Le Thanh, Henning Meyerhenke
2022	—	`ch.`	Computing Top-k Closeness Centrality in Fully Dynamic Graphs. Massive Graph Analytics Eugenio Angriman, Patrick Bisenius, Elisabetta Bergamini, Henning Meyerhenke
2022	C	`conf`	Fast Dynamic Updates and Dynamic SpGEMM on MPI-Distributed Graphs. CLUSTER Alexander van der Grinten, Geert Custers, Duy Le Thanh, Henning Meyerhenke
2022	J	`jnl`	Fast Dynamic Updates and Dynamic SpGEMM on MPI-Distributed Graphs. CoRR Alexander van der Grinten, Geert Custers, Duy Le Thanh, Henning Meyerhenke
2022	B	`conf`	Faster Greedy Optimization of Resistance-based Graph Robustness. ASONAM Maria Predari, Robert Kooij, Henning Meyerhenke
2022	—	`conf`	Interactive Visualization of Protein RINs using NetworKit in the Cloud. IPDPS Workshops Eugenio Angriman, Fabian Brandt-Tumescheit, Leon Franke, Alexander van der Grinten, Henning Meyerhenke
2022	J	`jnl`	Interactive Visualization of Protein RINs using NetworKit in the Cloud. CoRR Eugenio Angriman, Fabian Brandt-Tumescheit, Leon Franke, Alexander van der Grinten, Henning Meyerhenke
2022	—	`ch.`	Introduction to GraphBLAS. Massive Graph Analytics Jeremy Kepner, Peter Aaltonen, David A. Bader, Aydin Buluç, Franz Franchetti, John Gilbert, Shana Hutchison, Manoj Kumar, Andrew Lumsdaine, Henning Meyerhenke, Scott McMillan, José E. Moreira, John D. Owens, Carl Yang, Marcin Zalewski, Timothy G. Mattson
2022	—	`conf`	Mapping Tree-Shaped Workflows on Memory-Heterogeneous Architectures. Euro-Par Workshops Svetlana Kulagina, Henning Meyerhenke, Anne Benoit
2022	J	`jnl`	More Recent Advances in (Hyper)Graph Partitioning. CoRR Ümit V. Çatalyürek, Karen D. Devine, Marcelo Fonseca Faraj, Lars Gottesbüren, Tobias Heuer, Henning Meyerhenke, Peter Sanders, Sebastian Schlag, Christian Schulz, Daniel Seemaier, Dorothea Wagner
2022	B	`conf`	Network Sparsification via Degree- and Subgraph-based Edge Sampling. ASONAM Zhen Su, Jürgen Kurths, Henning Meyerhenke
2022	J	`jnl`	Scalable Katz Ranking Computation in Large Static and Dynamic Graphs. ACM J. Exp. Algorithmics Alexander van der Grinten, Elisabetta Bergamini, Oded Green, David A. Bader, Henning Meyerhenke
2021	—	`conf`	An MPI-based Algorithm for Mapping Complex Networks onto Hierarchical Architectures. Euro-Par Maria Predari, Charilaos Tzovas, Christian Schulz, Henning Meyerhenke
2021	J	`jnl`	An MPI-based Algorithm for Mapping Complex Networks onto Hierarchical Architectures. CoRR Maria Predari, Charilaos Tzovas, Christian Schulz, Henning Meyerhenke
2021	—	`conf`	Fully-dynamic Weighted Matching Approximation in Practice. ACDA Eugenio Angriman, Henning Meyerhenke, Christian Schulz, Bora Uçar
2021	J	`jnl`	Fully-dynamic Weighted Matching Approximation in Practice. CoRR Eugenio Angriman, Henning Meyerhenke, Christian Schulz, Bora Uçar
2021	A	`conf`	Group-Harmonic and Group-Closeness Maximization - Approximation and Engineering. ALENEX Eugenio Angriman, Ruben Becker, Gianlorenzo D'Angelo, Hugo Gilbert, Alexander van der Grinten, Henning Meyerhenke
2021	A	`conf`	New Approximation Algorithms for Forest Closeness Centrality - for Individual Vertices and Vertex Groups. SDM Alexander van der Grinten, Eugenio Angriman, Maria Predari, Henning Meyerhenke
2021	J	`jnl`	New Approximation Algorithms for Forest Closeness Centrality - for Individual Vertices and Vertex Groups. CoRR Alexander van der Grinten, Eugenio Angriman, Maria Predari, Henning Meyerhenke
2021	—	`conf`	Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters. IEEE BigData Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, Odej Kao
2021	J	`jnl`	Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters. CoRR Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, Odej Kao
2021	J	`jnl`	The Collaborative Research Center FONDA. Datenbank-Spektrum Ulf Leser, Marcus Hilbrich, Claudia Draxl, Peter Eisert, Lars Grunske, Patrick Hostert, Dagmar Kainmüller, Odej Kao, Birte Kehr, Timo Kehrer, Christoph Koch, Volker Markl, Henning Meyerhenke, Tilmann Rabl, Alexander Reinefeld, Knut Reinert, Kerstin Ritter, Björn Scheuermann, Florian Schintke, Nicole Schweikardt, Matthias Weidlich
2021	J	`jnl`	The climatic interdependence of extreme-rainfall events around the globe. CoRR Zhen Su, Henning Meyerhenke, Jürgen Kurths
2020	A	`conf`	Approximation of the Diagonal of a Laplacian's Pseudoinverse for Complex Network Analysis. ESA Eugenio Angriman, Maria Predari, Alexander van der Grinten, Henning Meyerhenke
2020	J	`jnl`	Approximation of the Diagonal of a Laplacian's Pseudoinverse for Complex Network Analysis. CoRR Eugenio Angriman, Maria Predari, Alexander van der Grinten, Henning Meyerhenke
2020	J	`jnl`	Combined Centrality Measures for an Improved Characterization of Influence Spreadin Social Networks. CoRR Mehmet Simsek, Henning Meyerhenke
2020	J	`jnl`	Combined centrality measures for an improved characterization of influence spread in social networks. J. Complex Networks Mehmet Simsek, Henning Meyerhenke
2020	Misc	`conf`	Distributing Sparse Matrix/Graph Applications in Heterogeneous Clusters - an Experimental Study. HiPC Charilaos Tzovas, Maria Predari, Henning Meyerhenke
2020	J	`jnl`	Distributing Sparse Matrix/Graph Applications in Heterogeneous Clusters - an Experimental Study. CoRR Charilaos Tzovas, Maria Predari, Henning Meyerhenke
2020	A	`conf`	Group Centrality Maximization for Large-scale Graphs. ALENEX Eugenio Angriman, Alexander van der Grinten, Aleksandar Bojchevski, Daniel Zügner, Stephan Günnemann, Henning Meyerhenke
2020	J	`jnl`	Group-Harmonic and Group-Closeness Maximization - Approximation and Engineering. CoRR Eugenio Angriman, Ruben Becker, Gianlorenzo D'Angelo, Hugo Gilbert, Alexander van der Grinten, Henning Meyerhenke
2020	B	`conf`	High-Quality Hierarchical Process Mapping. SEA Marcelo Fonseca Faraj, Alexander van der Grinten, Henning Meyerhenke, Jesper Larsson Träff, Christian Schulz
2020	J	`jnl`	High-Quality Hierarchical Process Mapping. CoRR Marcelo Fonseca Faraj, Alexander van der Grinten, Henning Meyerhenke, Jesper Larsson Träff, Christian Schulz
2020	A	`conf`	Scaling Betweenness Approximation to Billions of Edges by MPI-based Adaptive Sampling. IPDPS Alexander van der Grinten, Henning Meyerhenke
2020	J	`jnl`	Scaling up network centrality computations - A brief overview. it Inf. Technol. Alexander van der Grinten, Eugenio Angriman, Henning Meyerhenke
2019	J	`jnl`	Computing top- ACM Trans. Knowl. Discov. Data Elisabetta Bergamini, Michele Borassi, Pierluigi Crescenzi, Andrea Marino, Henning Meyerhenke
2019	J	`jnl`	Group Centrality Maximization for Large-scale Graphs. CoRR Eugenio Angriman, Alexander van der Grinten, Aleksandar Bojchevski, Daniel Zügner, Stephan Günnemann, Henning Meyerhenke
2019	J	`jnl`	Guidelines for Experimental Algorithmics in Network Analysis. CoRR Eugenio Angriman, Alexander van der Grinten, Moritz von Looz, Henning Meyerhenke, Martin Nöllenburg, Maria Predari, Charilaos Tzovas
2019	J	`jnl`	Guidelines for Experimental Algorithmics: A Case Study in Network Analysis. Algorithms Eugenio Angriman, Alexander van der Grinten, Moritz von Looz, Henning Meyerhenke, Martin Nöllenburg, Maria Predari, Charilaos Tzovas
2019	—	`conf`	Local Search for Group Closeness Maximization on Big Graphs. IEEE BigData Eugenio Angriman, Alexander van der Grinten, Henning Meyerhenke
2019	J	`jnl`	Local Search for Group Closeness Maximization on Big Graphs. CoRR Eugenio Angriman, Alexander van der Grinten, Henning Meyerhenke
2019	—	`conf`	Parallel Adaptive Sampling with Almost No Synchronization. Euro-Par Alexander van der Grinten, Eugenio Angriman, Henning Meyerhenke
2019	J	`jnl`	Parallel Adaptive Sampling with almost no Synchronization. CoRR Alexander van der Grinten, Eugenio Angriman, Henning Meyerhenke
2019	A	`ed.`	Proceedings of the Twenty-First Workshop on Algorithm Engineering and Experiments, ALENEX 2019, San Diego, CA, USA, January 7-8, 2019. ALENEX Stephen G. Kobourov, Henning Meyerhenke
2019	J	`jnl`	Scaling Betweenness Approximation to Billions of Edges by MPI-based Adaptive Sampling. CoRR Alexander van der Grinten, Henning Meyerhenke
2019	A	`conf`	Scaling up Network Centrality Computations DATE Alexander van der Grinten, Henning Meyerhenke
2019	J	`jnl`	diSTruct v1.0: generating biomolecular structures from distance constraints. Bioinform. Oskar Taubert, Ines Reinartz, Henning Meyerhenke, Alexander Schug
2018	B	`conf`	Balanced k-means for Parallel Geometric Partitioning. ICPP Moritz von Looz, Charilaos Tzovas, Henning Meyerhenke
2018	J	`jnl`	Balanced k-means for Parallel Geometric Partitioning. CoRR Moritz von Looz, Charilaos Tzovas, Henning Meyerhenke
2018	—	`ch.`	Benchmarking for Graph Clustering and Partitioning. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. David A. Bader, Andrea Kappes, Henning Meyerhenke, Peter Sanders, Christian Schulz, Dorothea Wagner
2018	A	`conf`	Computing Top- ALENEX Patrick Bisenius, Elisabetta Bergamini, Eugenio Angriman, Henning Meyerhenke
2018	J	`jnl`	Drawing Large Graphs by Multilevel Maxent-Stress Optimization. IEEE Trans. Vis. Comput. Graph. Henning Meyerhenke, Martin Nöllenburg, Christian Schulz
2018	J	`jnl`	High-Performance Graph Algorithms (Dagstuhl Seminar 18241). Dagstuhl Reports Henning Meyerhenke, Richard Peng, Ilya Safro
2018	J	`jnl`	Improving the Betweenness Centrality of a Node by Adding Links. ACM J. Exp. Algorithmics Elisabetta Bergamini, Pierluigi Crescenzi, Gianlorenzo D'Angelo, Henning Meyerhenke, Lorenzo Severini, Yllka Velaj
2018	A	`conf`	Many-to-many Correspondences between Partitions: Introducing a Cut-based Approach. SDM Roland Glantz, Henning Meyerhenke
2018	A	`conf`	Scalable Katz Ranking Computation in Large Static and Dynamic Graphs. ESA Alexander van der Grinten, Elisabetta Bergamini, Oded Green, David A. Bader, Henning Meyerhenke
2018	J	`jnl`	Scalable Katz Ranking Computation in Large Static and Dynamic Graphs. CoRR Alexander van der Grinten, Elisabetta Bergamini, Oded Green, David A. Bader, Henning Meyerhenke
2018	A	`conf`	Scaling up Group Closeness Maximization. ALENEX Elisabetta Bergamini, Tanya Gonser, Henning Meyerhenke
2018	B	`conf`	Topology-induced Enhancement of Mappings. ICPP Roland Glantz, Maria Predari, Henning Meyerhenke
2018	J	`jnl`	Topology-induced Enhancement of Mappings. CoRR Roland Glantz, Maria Predari, Henning Meyerhenke
2018	J	`jnl`	Updating Dynamic Random Hyperbolic Graphs in Sublinear Time. CoRR Moritz von Looz, Henning Meyerhenke
2018	J	`jnl`	Updating Dynamic Random Hyperbolic Graphs in Sublinear Time. ACM J. Exp. Algorithmics Moritz von Looz, Henning Meyerhenke
2017	J	`jnl`	Computing Top-k Closeness Centrality in Fully-dynamic Graphs. CoRR Patrick Bisenius, Elisabetta Bergamini, Eugenio Angriman, Henning Meyerhenke
2017	J	`jnl`	Computing top-k Closeness Centrality Faster in Unweighted Graphs. CoRR Elisabetta Bergamini, Michele Borassi, Pierluigi Crescenzi, Andrea Marino, Henning Meyerhenke
2017	B	`conf`	Faster Betweenness Centrality Updates in Evolving Networks. SEA Elisabetta Bergamini, Henning Meyerhenke, Mark Ortmann, Arie Slobbe
2017	J	`jnl`	Faster Betweenness Centrality Updates in Evolving Networks. CoRR Elisabetta Bergamini, Henning Meyerhenke, Mark Ortmann, Arie Slobbe
2017	J	`jnl`	Generating realistic scaled complex networks. Appl. Netw. Sci. Christian L. Staudt, Michael Hamann, Alexander Gutfraind, Ilya Safro, Henning Meyerhenke
2017	J	`jnl`	Improving the betweenness centrality of a node by adding links. CoRR Elisabetta Bergamini, Pierluigi Crescenzi, Gianlorenzo D'Angelo, Henning Meyerhenke, Lorenzo Severini, Yllka Velaj
2017	A	`conf`	Maxent-Stress Optimization of 3D Biomolecular Models. ESA Michael Wegner, Oskar Taubert, Alexander Schug, Henning Meyerhenke
2017	J	`jnl`	Maxent-Stress Optimization of 3D Biomolecular Models. CoRR Michael Wegner, Oskar Taubert, Alexander Schug, Henning Meyerhenke
2017	J	`jnl`	On finding convex cuts in general, bipartite and plane graphs. Theor. Comput. Sci. Roland Glantz, Henning Meyerhenke
2017	J	`jnl`	Parallel Graph Partitioning for Complex Networks. IEEE Trans. Parallel Distributed Syst. Henning Meyerhenke, Peter Sanders, Christian Schulz
2017	J	`jnl`	Scaling up Group Closeness Maximization. CoRR Elisabetta Bergamini, Tanya Gonser, Henning Meyerhenke
2017	—	`conf`	Shared Memory Parallel Subgraph Enumeration. IPDPS Workshops Raphael Kimmig, Henning Meyerhenke, Darren Strash
2017	J	`jnl`	Shared Memory Parallel Subgraph Enumeration. CoRR Raphael Kimmig, Henning Meyerhenke, Darren Strash
2016	J	`jnl`	An Empirical Comparison of Big Graph Frameworks in the Context of Network Analysis. CoRR Jannis Koch, Christian L. Staudt, Maximilian Vogel, Henning Meyerhenke
2016	J	`jnl`	An empirical comparison of Big Graph frameworks in the context of network analysis. Soc. Netw. Anal. Min. Jannis Koch, Christian L. Staudt, Maximilian Vogel, Henning Meyerhenke
2016	J	`jnl`	Approximating Betweenness Centrality in Fully Dynamic Networks. Internet Math. Elisabetta Bergamini, Henning Meyerhenke
2016	B	`conf`	Better Partitions of Protein Graphs for Subsystem Quantum Chemistry. SEA Moritz von Looz, Mario Wolter, Christoph R. Jacob, Henning Meyerhenke
2016	J	`jnl`	Better partitions of protein graphs for subsystem quantum chemistry. CoRR Moritz von Looz, Mario Wolter, Christoph R. Jacob, Henning Meyerhenke
2016	A	`conf`	Computing Top- ALENEX Elisabetta Bergamini, Michele Borassi, Pierluigi Crescenzi, Andrea Marino, Henning Meyerhenke
2016	J	`jnl`	Correspondences between partitions. CoRR Roland Glantz, Christian L. Staudt, Henning Meyerhenke
2016	J	`jnl`	Engineering Parallel Algorithms for Community Detection in Massive Networks. IEEE Trans. Parallel Distributed Syst. Christian L. Staudt, Henning Meyerhenke
2016	J	`jnl`	Engineering a Combinatorial Laplacian Solver: Lessons Learned. Algorithms Daniel Hoske, Dimitar Lukarski, Henning Meyerhenke, Michael Wegner
2016	—	`conf`	Estimating Current-Flow Closeness Centrality with a Multigrid Laplacian Solver. CSC Elisabetta Bergamini, Michael Wegner, Dimitar Lukarski, Henning Meyerhenke
2016	J	`jnl`	Estimating Current-Flow Closeness Centrality with a Multigrid Laplacian Solver. CoRR Elisabetta Bergamini, Michael Wegner, Dimitar Lukarski, Henning Meyerhenke
2016	—	`conf`	Generating Scaled Replicas of Real-World Complex Networks. COMPLEX NETWORKS Christian L. Staudt, Michael Hamann, Ilya Safro, Alexander Gutfraind, Henning Meyerhenke
2016	J	`jnl`	Generating Scaled Replicas of Real-World Complex Networks. CoRR Christian L. Staudt, Michael Hamann, Ilya Safro, Alexander Gutfraind, Henning Meyerhenke
2016	—	`conf`	Generating massive complex networks with hyperbolic geometry faster in practice. HPEC Moritz von Looz, Mustafa Safa Özdayi, Sören Laue, Henning Meyerhenke
2016	J	`jnl`	Generating massive complex networks with hyperbolic geometry faster in practice. CoRR Moritz von Looz, Mustafa Özdayi, Sören Laue, Henning Meyerhenke
2016	J	`jnl`	Mathematical Foundations of the GraphBLAS. CoRR Jeremy Kepner, Peter Aaltonen, David A. Bader, Aydin Buluç, Franz Franchetti, John R. Gilbert, Dylan Hutchison, Manoj Kumar, Andrew Lumsdaine, Henning Meyerhenke, Scott McMillan, José E. Moreira, John D. Owens, Carl Yang, Marcin Zalewski, Timothy G. Mattson
2016	—	`conf`	Mathematical foundations of the GraphBLAS. HPEC Jeremy Kepner, Peter Aaltonen, David A. Bader, Aydin Buluç, Franz Franchetti, John R. Gilbert, Dylan Hutchison, Manoj Kumar, Andrew Lumsdaine, Henning Meyerhenke, Scott McMillan, Carl Yang, John D. Owens, Marcin Zalewski, Timothy G. Mattson, José E. Moreira
2016	J	`jnl`	NetworKit: A tool suite for large-scale complex network analysis. Netw. Sci. Christian L. Staudt, Aleksejs Sazonovs, Henning Meyerhenke
2016	J	`jnl`	Partitioning (hierarchically clustered) complex networks via size-constrained graph clustering. J. Heuristics Henning Meyerhenke, Peter Sanders, Christian Schulz
2016	C	`conf`	Querying Probabilistic Neighborhoods in Spatial Data Sets Efficiently. IWOCA Moritz von Looz, Henning Meyerhenke
2016	—	`ch.`	Recent Advances in Graph Partitioning. Algorithm Engineering Aydin Buluç, Henning Meyerhenke, Ilya Safro, Peter Sanders, Christian Schulz
2016	J	`jnl`	Structure-Preserving Sparsification Methods for Social Networks. CoRR Michael Hamann, Gerd Lindner, Henning Meyerhenke, Christian L. Staudt, Dorothea Wagner
2016	J	`jnl`	Structure-preserving sparsification methods for social networks. Soc. Netw. Anal. Min. Michael Hamann, Gerd Lindner, Henning Meyerhenke, Christian L. Staudt, Dorothea Wagner
2016	J	`jnl`	Tree-Based Coarsening and Partitioning of Complex Networks. ACM J. Exp. Algorithmics Roland Glantz, Henning Meyerhenke, Christian Schulz
2015	C	`conf`	Algorithms for Mapping Parallel Processes onto Grid and Torus Architectures. PDP Roland Glantz, Henning Meyerhenke, Alexander Noe
2015	J	`jnl`	Approximating Betweenness Centrality in Fully-dynamic Networks. CoRR Elisabetta Bergamini, Henning Meyerhenke
2015	A	`conf`	Approximating Betweenness Centrality in Large Evolving Networks. ALENEX Elisabetta Bergamini, Henning Meyerhenke, Christian Staudt
2015	B	`conf`	Complex Network Analysis on Distributed Systems: An Empirical Comparison. ASONAM Jannis Koch, Christian L. Staudt, Maximilian Vogel, Henning Meyerhenke
2015	A	`conf`	Drawing Large Graphs by Multilevel Maxent-Stress Optimization. GD Henning Meyerhenke, Martin Nöllenburg, Christian Schulz
2015	J	`jnl`	Drawing Large Graphs by Multilevel Maxent-Stress Optimization. CoRR Henning Meyerhenke, Martin Nöllenburg, Christian Schulz
2015	J	`jnl`	Fast generation of dynamic complex networks with underlying hyperbolic geometry. CoRR Moritz von Looz, Christian L. Staudt, Henning Meyerhenke, Roman Prutkin
2015	A	`conf`	Fully-Dynamic Approximation of Betweenness Centrality. ESA Elisabetta Bergamini, Henning Meyerhenke
2015	J	`jnl`	Fully-dynamic Approximation of Betweenness Centrality. CoRR Elisabetta Bergamini, Henning Meyerhenke
2015	B	`conf`	Generating Random Hyperbolic Graphs in Subquadratic Time. ISAAC Moritz von Looz, Henning Meyerhenke, Roman Prutkin
2015	Misc	`conf`	Graphs, Matrices, and the GraphBLAS: Seven Good Reasons. ICCS Jeremy Kepner, David A. Bader, Aydin Buluç, John R. Gilbert, Timothy G. Mattson, Henning Meyerhenke
2015	J	`jnl`	Graphs, Matrices, and the GraphBLAS: Seven Good Reasons. CoRR Jeremy Kepner, David A. Bader, Aydin Buluç, John R. Gilbert, Timothy G. Mattson, Henning Meyerhenke
2015	B	`conf`	Is Nearly-linear the Same in Theory and Practice? A Case Study with a Combinatorial Laplacian Solver. SEA Daniel Hoske, Dimitar Lukarski, Henning Meyerhenke, Michael Wegner
2015	J	`jnl`	Is Nearly-linear the same in Theory and Practice? A Case Study with a Combinatorial Laplacian Solver. CoRR Daniel Hoske, Dimitar Lukarski, Henning Meyerhenke, Michael Wegner
2015	A	`conf`	Parallel Graph Partitioning for Complex Networks. IPDPS Henning Meyerhenke, Peter Sanders, Christian Schulz
2015	J	`jnl`	Querying Probabilistic Neighborhoods in Spatial Data Sets Efficiently. CoRR Moritz von Looz, Henning Meyerhenke
2015	B	`conf`	Structure-Preserving Sparsification of Social Networks. ASONAM Gerd Lindner, Christian L. Staudt, Michael Hamann, Henning Meyerhenke, Dorothea Wagner
2015	J	`jnl`	Structure-Preserving Sparsification of Social Networks. CoRR Gerd Lindner, Christian L. Staudt, Michael Hamann, Henning Meyerhenke, Dorothea Wagner
2015	J	`jnl`	k-way Hypergraph Partitioning via n-Level Recursive Bisection. CoRR Sebastian Schlag, Vitali Henne, Tobias Heuer, Henning Meyerhenke, Peter Sanders, Christian Schulz
2015	J	`jnl`	n-Level Hypergraph Partitioning. CoRR Vitali Henne, Henning Meyerhenke, Peter Sanders, Sebastian Schlag, Christian Schulz
2014	J	`jnl`	Algorithms for Mapping Parallel Processes onto Grid and Torus Architectures. CoRR Roland Glantz, Henning Meyerhenke, Alexander Noe
2014	J	`jnl`	Approximating Betweenness Centrality in Large Evolving Networks. CoRR Elisabetta Bergamini, Henning Meyerhenke, Christian Staudt
2014	—	`ch.`	Benchmarking for Graph Clustering and Partitioning. Encyclopedia of Social Network Analysis and Mining David A. Bader, Henning Meyerhenke, Peter Sanders, Christian Schulz, Andrea Kappes, Dorothea Wagner
2014	—	`conf`	Detecting communities around seed nodes in complex networks. IEEE BigData Christian Staudt, Yassine Marrakchi, Henning Meyerhenke
2014	J	`jnl`	High-performance Graph Algorithms and Applications in Computational Science (Dagstuhl Seminar 14461). Dagstuhl Reports Ulrich Carsten Meyer, Henning Meyerhenke, Ali Pinar, Ilya Safro
2014	J	`jnl`	NetworKit: An Interactive Tool Suite for High-Performance Network Analysis. CoRR Christian Staudt, Aleksejs Sazonovs, Henning Meyerhenke
2014	J	`jnl`	Parallel Graph Partitioning for Complex Networks. CoRR Henning Meyerhenke, Peter Sanders, Christian Schulz
2014	B	`conf`	Partitioning Complex Networks via Size-Constrained Clustering. SEA Henning Meyerhenke, Peter Sanders, Christian Schulz
2014	J	`jnl`	Partitioning Complex Networks via Size-constrained Clustering. CoRR Henning Meyerhenke, Peter Sanders, Christian Schulz
2014	B	`conf`	Tree-Based Coarsening and Partitioning of Complex Networks. SEA Roland Glantz, Henning Meyerhenke, Christian Schulz
2014	J	`jnl`	Tree-based Coarsening and Partitioning of Complex Networks. CoRR Roland Glantz, Henning Meyerhenke, Christian Schulz
2013	J	`jnl`	Engineering High-Performance Community Detection Heuristics for Massive Graphs CoRR Christian Staudt, Henning Meyerhenke
2013	B	`conf`	Engineering High-Performance Community Detection Heuristics for Massive Graphs. ICPP Christian Staudt, Henning Meyerhenke
2013	C	`conf`	Finding All Convex Cuts of a Plane Graph in Cubic Time. CIAC Roland Glantz, Henning Meyerhenke
2013	J	`jnl`	Finding all Convex Cuts of a Plane Graph in Cubic Time CoRR Roland Glantz, Henning Meyerhenke
2013	—	`ed.`	Graph Partitioning and Graph Clustering, 10th DIMACS Implementation Challenge Workshop, Georgia Institute of Technology, Atlanta, GA, USA, February 13-14, 2012. Proceedings Graph Partitioning and Graph Clustering David A. Bader, Henning Meyerhenke, Peter Sanders, Dorothea Wagner
2013	J	`jnl`	PASQUAL: Parallel Techniques for Next Generation Genome Sequence Assembly. IEEE Trans. Parallel Distributed Syst. Xing Liu, Pushkar R. Pande, Henning Meyerhenke, David A. Bader
2013	J	`jnl`	Recent Advances in Graph Partitioning. CoRR Aydin Buluç, Henning Meyerhenke, Ilya Safro, Peter Sanders, Christian Schulz
2013	J	`jnl`	Static and Dynamic Aspects of Scientific Collaboration Networks. CoRR Christian Staudt, Andrea Schumm, Henning Meyerhenke, Robert Görke, Dorothea Wagner
2013	—	`conf`	Topic 12: Theory and Algorithms for Parallel Computation - (Introduction). Euro-Par Giuseppe F. Italiano, Henning Meyerhenke, Guy E. Blelloch, Philippas Tsigas
2012	Misc	`conf`	Analysis of streaming social networks and graphs on multicore architectures. ICASSP E. Jason Riedy, Henning Meyerhenke, David A. Bader, David Ediger, Timothy G. Mattson
2012	J	`jnl`	Beyond Good Partition Shapes: An Analysis of Diffusive Graph Partitioning. Algorithmica Henning Meyerhenke, Thomas Sauerwald
2012	—	`conf`	Parallel community detection for massive graphs. Graph Partitioning and Graph Clustering E. Jason Riedy, Henning Meyerhenke, David Ediger, David A. Bader
2012	—	`conf`	Scalable Multi-threaded Community Detection in Social Networks. IPDPS Workshops E. Jason Riedy, David A. Bader, Henning Meyerhenke
2012	—	`conf`	Shape optimizing load balancing for MPI-parallel adaptive numerical simulations. Graph Partitioning and Graph Clustering Henning Meyerhenke
2012	B	`conf`	Static and Dynamic Aspects of Scientific Collaboration Networks. ASONAM Christian Staudt, Andrea Schumm, Henning Meyerhenke, Robert Görke, Dorothea Wagner
2012	—	`conf`	Topic 12: Theory and Algorithms for Parallel Computation. Euro-Par Geppino Pucci, Christos D. Zaroliagis, Kieran T. Herley, Henning Meyerhenke
2011	—	`conf`	Parallel Community Detection for Massive Graphs. PPAM (1) E. Jason Riedy, Henning Meyerhenke, David Ediger, David A. Bader
2011	—	`conf`	Tracking Structure of Streaming Social Networks. IPDPS Workshops David Ediger, E. Jason Riedy, David A. Bader, Henning Meyerhenke
2010	—	`conf`	A distributed diffusive heuristic for clustering a virtual P2P supercomputer. IPDPS Workshops Joachim Gehweiler, Henning Meyerhenke
2010	—	`conf`	Beyond Good Shapes: Diffusion-Based Graph Partitioning Is Relaxed Cut Optimization. ISAAC (2) Henning Meyerhenke
2010	—	`conf`	On Dynamic Graph Partitioning and Graph Clustering using Diffusion. Algorithm Engineering Henning Meyerhenke, Joachim Gehweiler
2010	—	`conf`	Realistic Computer Models. Algorithm Engineering Deepak Ajwani, Henning Meyerhenke
2009	J	`jnl`	A new diffusion-based multilevel algorithm for computing graph partitions. J. Parallel Distributed Comput. Henning Meyerhenke, Burkhard Monien, Thomas Sauerwald
2009	B	`conf`	Dynamic Load Balancing for Parallel Numerical Simulations Based on Repartitioning with Disturbed Diffusion. ICPADS Henning Meyerhenke
2009	J	`jnl`	Graph partitioning and disturbed diffusion. Parallel Comput. Henning Meyerhenke, Burkhard Monien, Stefan Schamberger
2008	A	`conf`	A new diffusion-based multilevel algorithm for computing graph partitions of very high quality. IPDPS Henning Meyerhenke, Burkhard Monien, Thomas Sauerwald
2008	—	`—`	Disturbed diffusive processes for solving partitioning problems on graphs Henning Meyerhenke
2006	—	`conf`	A Parallel Shape Optimizing Load Balancer. Euro-Par Henning Meyerhenke, Stefan Schamberger
2006	A	`conf`	Accelerating shape optimizing load balancing for parallel FEM simulations by algebraic multigrid. IPDPS Henning Meyerhenke, Burkhard Monien, Stefan Schamberger
2006	B	`conf`	Analyzing Disturbed Diffusion on Networks. ISAAC Henning Meyerhenke, Thomas Sauerwald
2005	—	`conf`	Balancing Parallel Adaptive FEM Computations by Solving Systems of Linear Equations. Euro-Par Henning Meyerhenke, Stefan Schamberger
2005	C	`conf`	Constructing higher-order Voronoi diagrams in parallel. EuroCG Henning Meyerhenke