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#

graph-partitioning

Here are 67 public repositories matching this topic...

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.

  • UpdatedOct 25, 2025
  • C++
KaHIPmt-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.

  • UpdatedNov 28, 2025
  • C++
EdMot

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

  • UpdatedNov 6, 2022
  • Python

Implementation of Kernighan-Lin graph partitioning algorithm in Python

  • UpdatedMay 19, 2019
  • Python

Graph edge partitioning algorithms

  • UpdatedOct 17, 2019
  • C++

A modern Fortran interface to the METIS graph partitioning library

  • UpdatedAug 5, 2024
  • Fortran

DRL models for graph partitioning and sparse matrix ordering.

  • UpdatedNov 5, 2023
  • Python

Implements a generalized Louvain algorithm (C++ backend and Matlab interface)

  • UpdatedSep 17, 2019
  • C++

A list of all publications related to the KaHyPar frameworks.

  • UpdatedApr 23, 2022

Parallel graph partitioning

  • UpdatedNov 11, 2017
  • C++

A random graph partitioning algorithm inspired from label propagation method

  • UpdatedJul 19, 2020
  • Jupyter Notebook

A GPT-GNN based verilog netlist partitioner for 3D IC design

  • UpdatedJul 9, 2025
  • Verilog

Implementation of the expander decomposition algorithm inhttps://arxiv.org/abs/1812.08958. Decompose graph with cluster expansion guarantee.

  • UpdatedJun 6, 2023
  • C++

USENIX Security'23: Inductive Graph Unlearning

  • UpdatedAug 11, 2024
  • Jupyter Notebook

CutESC: Cutting Edge Spatial Clustering Technique based on Proximity Graphs

  • UpdatedNov 15, 2019
  • Jupyter Notebook

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