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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

Project details


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Files for reveal-graph-embedding, version 0.1.4
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