kahypar
https://github.com/kahypar/kahypar
C++
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.
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Help out
- Issues
- Fix out-of-bounds DistanceFromCut::operator[]
- Assertion errors in `DistanceFromCut::operator[]`
- will a cluster with one object be considered as hyper edge ?
- HELP - UnicodeDecodeError: 'charmap' codec can't decode byte 0x9d in position 5786: character maps to <undefined>
- Generating many partitions.
- Comments about building, test and installation
- Compile using Clang: cannot specify -o when generating multiple output files
- The framework's manual
- Wheel on PyPI for `aarch64`
- Graphs from integrated circuit design have higher than expected cuts
- Docs
- C++ not yet supported