Implementation of community-based graph embedding for user classification.
Project description
# 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
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Source Distribution
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