Skip to main content

Implementation of community-based graph embedding for user classification.

Project description

# reveal-graph-embedding

Implementation of community-based graph embedding for user classification.


  • 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.


### Required packages - numpy - scipy - h5py - scikit-learn - Cython - networkx - python-louvain

### Installation To install for all users on Unix/Linux:

python3.4 build sudo python3.4 install


pip install reveal-graph-embedding

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for reveal-graph-embedding, version 0.1.4
Filename, size File type Python version Upload date Hashes
Filename, size reveal-graph-embedding-0.1.4.tar.gz (32.7 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page