Graph Clustering Toolkit Documentation¶

  • Installation
    • Install using Docker
      • Run python or ipython
      • Run Jupyter notebook
      • Run algrithm programs directly
    • Manually Compiling
      • Prerequisites
      • Compile
  • Usage
    • Evnronment variables
    • Quick Code
    • Cheats
    • Notebooks
      • Quick Tutorial
  • API Documentation
    • Algorithms
    • Dataset (aka graph and/or cluster)
    • Metrics

Citations¶

The toolkit collects a lot of academic graph clustering programs. For individual algorithms, see Algorithms for the publications. Also please cite this work with Comparison and Benchmark of Graph Clustering Algorithms

Source Code¶

Please visit https://bitbucket.org/LizhenShi/graph_clustering_toolkit

Indices and tables¶

  • Index

  • Module Index

  • Search Page

Graph Clustering Toolkit

Navigation

  • Installation
  • Usage
  • API Documentation

Related Topics

  • Documentation overview
    • Next: Installation

Quick search

©2019, Lizhen Shi. | Powered by Sphinx 3.0.3 & Alabaster 0.7.12 | Page source