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Wireless Link Scheduling with State-Augmented Graph Neural Networks

This is the repository for the paper of the same name. More information about references or citations will be added soon.

Installation

You can clone the repository as is usually done:

git clone https://github.com/romm32/SAWL.git

We provide a .yml file to set up a conda environment in Ubuntu 22, with which the installation of the packages should become easier.

Use

The file data_tests is a Jupyter Notebook that enables the generation of a dataset and some analysis of it (such as the degree of the nodes, a visual representation of the graphs, etc). You can run the cells in this file to generate a dataset. After this, you can run the main file inside the conda environment as follows.

python main.py

You can also specify training/evaluation parameters as arguments.

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