Fast node ranking algorithms on large graphs.
Author: Emmanouil (Manios) Krasanakis
License: Apache 2.0
🛠️ Installation
This library requires Python 3.9 or later. Get the latest version per:
pip install --upgrade pygrank
Also install any of these optional dependencies to use the respective backend: tensorflow,pytorch,torch_sparse,matvec
🔗 Documentation
https://pygrank.readthedocs.io
🧠 Overview
pygrank is a collection of node ranking algorithms
and practices that support real-world conditions,
such as large graphs and heterogeneous preprocessing
and postprocessing requirements. Thus, it provides
ready-to-use tools that simplify the deployment of
theoretical advancements and testing of new algorithms.
👍 Contributing
Feel free to contribute in any way, for example through the issue tracker or by participating in discussions. Please check out the contribution guidelines to bring modifications to the code base. If so, make sure to follow the pull checklist described in the guidelines.
📓 Citation
If pygrank has been useful in your research and you would like to cite it in a scientific publication, please refer to the following paper:
@article{krasanakis2022pygrank,
author = {Emmanouil Krasanakis, Symeon Papadopoulos, Ioannis Kompatsiaris, Andreas Symeonidis},
title = {pygrank: A Python Package for Graph Node Ranking},
journal = {SoftwareX},
year = 2022,
month = oct,
doi = {10.1016/j.softx.2022.101227},
url = {https://doi.org/10.1016/j.softx.2022.101227}
}
To publish research that makes use of provided implementations, please cite their relevant publications.
1 maintainer
Metadata
1 maintainer
Release files for pygrank 0.2.14
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pygrank-0.2.14-py3-none-any.whl | Python 3 | none | any | Details |
Release files / pygrank-0.2.14-py3-none-any.whl
| Download URL | pygrank-0.2.14-py3-none-any.whl |
|---|---|
| Size | 345.7 kB |
| Tags | Python 3 |
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