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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
Release History

Release History

This version
History Node

0.1.4

History Node

0.1.3

History Node

0.1.2

History Node

0.1

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
reveal-graph-embedding-0.1.4.tar.gz (32.7 kB) Copy SHA256 Checksum SHA256 Source Nov 26, 2015

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