Metadata-Version: 2.1
Name: gsxform
Version: 0.1.0
Summary: Wavelet scattering transforms on graphs via PyTorch
Home-page: https://github.com/armaank/gsxform
Author: Armaan Kohli
Author-email: kohli@cooper.edu
License: BSD 3-Clause
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: BSD License
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Description-Content-Type: text/markdown
License-File: LICENSE

# gsxform
 Wavelet scattering transforms on graphs via PyTorch
 
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 ---
 
`gsxform` is a package for constructing graph scattering transforms, leveraging PyTorch
to allow for GPU based computation.
Using PyTorch, `gsxform` offers the ability to more
easily build models that use both scattering transform and neural network components.
 
`gsxform` is first and foremost a research project and is being continuously refined.
Behavior can potentially be unstable and consistency is not guaranteed.

## TODO

* clean up readme, add additional formatting
* check dependencies 

## Installation

### Official Release

`gsxform` is available on PyPi:
```bash
pip install gsxform
```

### Pre-releases

The most up-to-date version of `gsxform` can be installed via git:
```bash
pip install git+https://github.com/armaank/gsxform.git
```

## License 
The original code of this repository is released under the
[BSD 3.0-Clause Licence](https://github.com/armaank/gsxform/blob/main/LICENSE).
Modifications, adaptations and derivative work is encouraged!

## Citation 
If you use `gsxform`, please cite using the [Zenodo DOI](https://zenodo.org/record/7069114)

