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Advanced Graph Clustering
============================================

This project focuses on the study and implementation of various graph clustering techniques, covering traditional techniques such as Spectral Clustering and Leiden Method, as well as deep graph clustering methods like Graph Autoencoders. The project aims to provide a comprehensive overview of graph clustering algorithms and their applications in network analysis.

Installation
------------

:ref:`installation`
   Installation instructions for the project.


Implemented Techniques
-----------------------

:ref:`implemented_techniques`
    Overview of the implemented graph clustering techniques.

Datasets
--------

:ref:`datasets`
    Overview of the datasets used in the project.

Source code
-----------

:ref:`src`
    Overview of the source code.

Table of Contents
-----------------

.. toctree::
    :maxdepth: 4

    installation
    implemented_techniques
    datasets
    modules

Indices and tables
------------------

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`