gnnfairviz


Namegnnfairviz JSON
Version 0.0.1.post1 PyPI version JSON
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home_pageNone
SummaryOfficial implementation of GNNFairViz
upload_time2024-07-07 10:28:27
maintainerNone
docs_urlNone
authorNone
requires_python<=3.11,>=3.8
licenseMIT License Copyright (c) 2024 Xinwu Ye Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
keywords fairness visual analysis graph neural networks jupyter notebook
VCS
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requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # GNNFairViz

![Build Status](https://github.com/xinwuye/GNNFairViz/actions/workflows/python-publish.yml/badge.svg) ![License](https://img.shields.io/github/license/xinwuye/GNNFairViz)

## Overview

GNNFairViz is a visualization tool designed to provide insights into the fairness of Graph Neural Networks from the perspective of data. 

## Installation

You can install GNNFairViz using pip or from source.

### Using pip

```bash
pip install gnnfairviz
```

### From Source

```bash
git clone https://github.com/xinwuye/GNNFairViz.git
cd GNNFairViz
pip install .
```

## Usage

Examples of how to use the package can be found in the `evaluation/cases` folder.

## Features

- Support customizing and inspecting fairness through various
viewpoints.
- Provide clues and interactions for node selection to analyze how
they affect model bias.
- Allow diagnosing GNN fairness issues in an interactive manner.

## Contributing

We welcome contributions! Follow these steps to set up your development environment and contribute to the project.

### Setting Up the Development Environment

```bash
git clone https://github.com/xinwuye/GNNFairViz.git
cd GNNFairViz
poetry install
```

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Contact

For questions or support, please contact:

- **Email**: xwye23@m.fudan.edu.cn
- **GitHub Issues**: [GitHub Issues](https://github.com/xinwuye/GNNFairViz/issues)

## Credits

This project uses and adapts code from the following repositories:

- [CSC591_Community_Detection by imabhishekl](https://github.com/imabhishekl/CSC591_Community_Detection)
- [NoLiES by leitte](https://github.com/leitte/NoLiES)
- [PyGDebias by yushundong](https://github.com/yushundong/PyGDebias)

            

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