Attributed Stream Hypergraph (ASH)

Attributed Stream Hypergraph (ASH)

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:

Failla, A., Citraro, S. & Rossetti, G. Attributed Stream Hypergraphs: temporal modeling of node-attributed high-order interactions. Appl Netw Sci 8, 31 (2023). https://doi.org/10.1007/s41109-023-00555-6

Tutorial and Online Environments

Check out the official tutorial 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++.

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:

pip install -r requirements.txt
pip install .

Alternatively use pip

pip install ash_model 

or conda

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.