SFGAD is a tool for detecting anomalies in graph and graph streams with python.
I provides:
- Efficient computation of graph features
- Statistical models for detecting anomalous behavior
- Graph scanning to detect connected graph anomalies
- A customizable detection framework with 6 components
- Several pre-defined configurations
Process
Installation
Dependencies
- Python: 3.5 or higher
- NumPy: 1.8.2 or higher
- SciPy: 0.13.3 or higher
- Pandas: 0.22.0 or higher
- NetworkX: 1.11.0 or higher
Installation (coming soon)
Installation of the latest release is available at the Python package index and on conda.
conda install sfgad
or
pip install sfgad
The source code is currently available on GitHub: https://github.com/sudrich/sf-gad
Testing
For testing use pytest from the source directory:
pytest sfgad
Acknowledgements
This work originated from the QuestMiner project (grant no. 01IS12051) and was partially funded by the German Federal Ministry of Education and Research (BMBF).
1 maintainer
Metadata
1 maintainer
Release files for sfgad 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sfgad-0.1.2.tar.gz | 27.4 kB | Details |
Release files / sfgad-0.1.2.tar.gz
| Download URL | sfgad-0.1.2.tar.gz |
|---|---|
| Size | 27.4 kB |
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