Metadata-Version: 1.1
Name: reveal-graph-embedding
Version: 0.1.3
Summary: Implementation of community-based graph embedding for user classification.
Home-page: https://github.com/MKLab-ITI/reveal-graph-embedding
Author: Georgios Rizos
Author-email: georgerizos@iti.gr
License: Apache
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
        
Keywords: online-social-network user-centric-pagerank user-centric-community-detection graph-embedding Reveal-FP7
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: Unix
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: Implementation
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering :: Information Analysis
