Ecosyste.ms: Repos
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GitHub topics: hypergraph-partitioning
kahypar/kahypar
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.
Language: C++ - Size: 133 MB - Last synced: 16 days ago - Pushed: 17 days ago - Stars: 396 - Forks: 88
kahypar/mt-kahypar
Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequential partitioning algorithms. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.
Language: C++ - Size: 33.6 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 102 - Forks: 20
gullolan/Hypergraph_partitioning
IP formulations for hypergraph partitioning problems
Language: Jupyter Notebook - Size: 1.16 MB - Last synced: 9 months ago - Pushed: 10 months ago - Stars: 1 - Forks: 0
kotatsuyaki/cad-net-partition
Multiple-way hypergraph partitioning based on simulated annealing
Language: C++ - Size: 4.49 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 1 - Forks: 0
kahypar/research-publications
A list of all publications related to the KaHyPar frameworks.
Size: 22.5 KB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 5 - Forks: 3
Inazuma110/HCBE.jl
Hypergraph(or bipartite graph) clustering algorithm.
Language: Julia - Size: 9.48 MB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0
