# Attributed Stream Hypergraph (ASH)
[](https://github.com/psf/black)
[](https://ash-model.readthedocs.io//en/latest/?badge=latest)
[](https://pyup.io/repos/github/GiulioRossetti/ASH/)
[](https://badge.fury.io/py/ash-model)
[](https://badge.fury.io/py/ash-model)
[](https://sobigdata.d4science.org/group/sobigdata-gateway/explore?siteId=20371853)
``ASH`` is a Python software package that allows to represent and analyze dynamic hypergraphs enriched with node attributes.
If you use ``ASH`` as support to your research consider citing:
> A. Failla, S. Citraro, G. Rossetti
>
> **Attributed Stream Hypergraphs: temporal modeling of node-attributed high-order interactions.**
>
> [arXiv:2303.18226](https://arxiv.org/abs/2303.18226)
> 2023
## Tutorial and Online Environments
Check out the official [tutorial](https://ash-model.readthedocs.io/en/latest/tutorial.html) to get started!
If you would like to test ``ASH`` functionalities without installing anything on your machine consider using the preconfigured Jupyter Hub instances offered by [SoBigData++](https://sobigdata.d4science.org/group/sobigdata-gateway/explore?siteId=20371853).
## Installation
``ASH`` *requires* python>=3.9.
To install the latest version of our library just download (or clone) the current project, open a terminal and run the following commands:
```bash
pip install -r requirements.txt
pip install .
```
Alternatively use pip
```bash
pip install ash_model
```
or conda
```bash
conda config --add channels giuliorossetti
conda config --add channels conda-forge
conda install ash_model
```
## Collaborate with us!
``ASH`` is an active project, any contribution is welcome!
If you like to include your model in ASH feel free to fork the project, open an issue and contact us.
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