Karlsruhe High Quality Graph Partitioning
This is the open source framework to compute high quality graph partitions.
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- CluStRE Public
CluStRE is a state-of-the-art streaming graph clustering algorithm that balances computational efficiency with high-quality clustering using multi-stage refinement.
KaHIP/CluStRE’s past year of commit activity - CompressedStreamingGraphPartitioning Public
StreamCPI is a framework for reducing the memory consumption of streaming graph partitioners by compressing the array of block assignments used by such partitioners with run-length compression.
KaHIP/CompressedStreamingGraphPartitioning’s past year of commit activity
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