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


Release history Release notifications

This version
History Node

0.1.4

History Node

0.1.3

History Node

0.1.2

History Node

0.1

Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
reveal-graph-embedding-0.1.4.tar.gz (32.7 kB) Copy SHA256 hash SHA256 Source None Nov 26, 2015

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page