Efficient and high-performance community detection in large-scale graphs, built with Rust for speed and scalability.

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  • License: GPL-3.0-or-later
  • Author: Guilherme Santos
  • Tags rust , python , community detection , multi-objective optimization , graph analysis
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Python Multi-Objective High-performance Evolutionary Algorithms for Community Detection

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Overview

pymocd is a Rust-powered Python library designed for efficient multi-objective evolutionary algorithms in community detection. It enhances performance over traditional methods, making it ideal for large-scale graph analysis. This project continues from re-mocd. Visit the Docs to help and usage.

Features

  • High-performance Rust backend;
  • Multi-objective optimization;
  • Scalable to large graphs
  • Easy-to-use Python API

Contributing

Contributions are welcome! If you have ideas for improvements, feel free to submit issues or pull, this project is licensed under the GPL-3.0 or later.

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  • License: GPL-3.0-or-later
  • Author: Guilherme Santos
  • Tags rust , python , community detection , multi-objective optimization , graph analysis
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3.0.0

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