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 Evolutionary Algorithms for Community Detection

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

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.

Features

  • High-performance Rust backend for computational efficiency
  • Multi-objective optimization for better community structures
  • Scalable to large graphs
  • Easy-to-use Python API

Installation and Usage

Visit the documentation (TODO) for detailed instructions and examples.

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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1.5.1

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