# reveal-graph-embedding
Implementation of community-based graph embedding for user classification.
Features
Graph-based, multi-label user classification.
Implementation of the ARCTE (Absorbing Regularized Commute Times Embedding) algorithm for graph-based feature extraction.
Both python vanilla and cython-optimized versions.
Implementation of other feature extraction methods for graphs (Laplacian Eigenmaps, Louvain, MROC).
Evaluation score and time benchmarks.
Install
### Required packages - numpy - scipy - h5py - scikit-learn - Cython - networkx - python-louvain
### Installation To install for all users on Unix/Linux:
python3.4 setup.py build sudo python3.4 setup.py install
Alternatively:
pip install reveal-graph-embedding
1 maintainer
Release files for reveal-graph-embedding 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| reveal-graph-embedding-0.1.4.tar.gz | 32.7 kB | Details |
Release files / reveal-graph-embedding-0.1.4.tar.gz
| Download URL | reveal-graph-embedding-0.1.4.tar.gz |
|---|---|
| Size | 32.7 kB |
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