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.
1 maintainer
Metadata
1 maintainer
Release files for ash-model 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| ash_model-1.0.0.tar.gz | 55.6 kB | Without provenance | Details for ash_model-1.0.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ash_model-1.0.0-py3-none-any.whl | Python 3 | none | any | Details for ash_model-1.0.0-py3-none-any.whl |
Total release size: 123.5 kB
Release files / ash_model-1.0.0.tar.gz
| Download URL | ash_model-1.0.0.tar.gz |
|---|---|
| Size | 55.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
05513916fc5e2b1ef64df6f1e7d14dc888f006f77e3dbec06ba79a66eef644a0
|
|
BLAKE2b-256 checksum How to use checksums |
e157686b0552bebc50a6c2a7da4a5484c9c93faeb00eb27feadf3c3aef4fdee3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.16
|
Release files / ash_model-1.0.0-py3-none-any.whl
| Download URL | ash_model-1.0.0-py3-none-any.whl |
|---|---|
| Size | 67.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
364bdf674366133c1c104c11132d240425e89942e0460a8802bba54ba8a694ac
|
|
BLAKE2b-256 checksum How to use checksums |
9c2a2e2fab35cfb79396932e2836085c5b87730034b48d9c8a93e7f318ce638d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.16
|
Security for ash-model 1.0.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
