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https://github.com/microsoft/graspologic
Python package for graph statistics
https://github.com/microsoft/graspologic
data-science graph graph-statistics machine-learning networks python
Last synced: 2 months ago
JSON representation
Python package for graph statistics
- Host: GitHub
- URL: https://github.com/microsoft/graspologic
- Owner: microsoft
- License: mit
- Created: 2018-09-07T04:00:05.000Z (almost 6 years ago)
- Default Branch: dev
- Last Pushed: 2024-04-04T15:53:13.000Z (3 months ago)
- Last Synced: 2024-04-08T00:51:41.306Z (3 months ago)
- Topics: data-science, graph, graph-statistics, machine-learning, networks, python
- Language: Python
- Homepage: https://microsoft.github.io/graspologic/latest
- Size: 606 MB
- Stars: 488
- Watchers: 18
- Forks: 125
- Open Issues: 118
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.txt
- Codeowners: .github/CODEOWNERS
- Security: SECURITY.md
Lists
- awesome-network-analysis - graspologic - Python package for statistical algorithms, models, and visualization for single and multiple networks. (Software / Python)
- awesome-stars - graspologic
README
# graspologic
[](http://www.jmlr.org/papers/volume20/19-490/19-490.pdf)
[](https://pypi.org/project/graspologic/)
[](https://pepy.tech/project/graspologic)
[](https://opensource.org/licenses/MIT)
## `graspologic` is a package for graph statistical algorithms.
- [Overview](#overview)
- [Documentation](#documentation)
- [System Requirements](#system-requirements)
- [Installation Guide](#installation-guide)
- [Contributing](#contributing)
- [License](#license)
- [Issues](#issues)
- [Citing `graspologic`](#citing-graspologic)
# Overview
A graph, or network, provides a mathematically intuitive representation of data with some sort of relationship between items. For example, a social network can be represented as a graph by considering all participants in the social network as nodes, with connections representing whether each pair of individuals in the network are friends with one another. Naively, one might apply traditional statistical techniques to a graph, which neglects the spatial arrangement of nodes within the network and is not utilizing all of the information present in the graph. In this package, we provide utilities and algorithms designed for the processing and analysis of graphs with specialized graph statistical algorithms.
# Documentation
The official documentation with usage is at https://microsoft.github.io/graspologic/latest
Please visit the [tutorial section](https://microsoft.github.io/graspologic/latest/tutorials/index.html) in the official website for more in depth usage.
# System Requirements
## Hardware requirements
`graspologic` package requires only a standard computer with enough RAM to support the in-memory operations.
## Software requirements
### OS Requirements
`graspologic` is tested on the following OSes:
- Linux x64
- macOS x64
- Windows 10 x64
And across the following **x86_64** versions of Python:
- 3.8
- 3.9
- 3.10
If you try to use `graspologic` for a different platform than the ones listed and notice any unexpected behavior,
please feel free to [raise an issue](https://github.com/microsoft/graspologic/issues/new). It's better for ourselves and our users
if we have concrete examples of things not working!
# Installation Guide
## Install from pip
```
pip install graspologic
```
## Install from Github
```
git clone https://github.com/microsoft/graspologic
cd graspologic
python3 -m venv venv
source venv/bin/activate
python3 setup.py install
```
# Contributing
We welcome contributions from anyone. Please see our [contribution guidelines](https://github.com/microsoft/graspologic/blob/dev/CONTRIBUTING.md) before making a pull request. Our
[issues](https://github.com/microsoft/graspologic/issues) page is full of places we could use help!
If you have an idea for an improvement not listed there, please
[make an issue](https://github.com/microsoft/graspologic/issues/new) first so you can discuss with the developers.
# License
This project is covered under the MIT License.
# Issues
We appreciate detailed bug reports and feature requests (though we appreciate pull requests even more!). Please visit our [issues](https://github.com/microsoft/graspologic/issues) page if you have questions or ideas.
# Citing `graspologic`
If you find `graspologic` useful in your work, please cite the package via the [GraSPy paper](http://www.jmlr.org/papers/volume20/19-490/19-490.pdf)
> Chung, J., Pedigo, B. D., Bridgeford, E. W., Varjavand, B. K., Helm, H. S., & Vogelstein, J. T. (2019). GraSPy: Graph Statistics in Python. Journal of Machine Learning Research, 20(158), 1-7.