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.

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


Download files

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

Source Distribution

reveal-graph-embedding-0.1.4.tar.gz (32.7 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page