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            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3 :: Only",
            "Programming Language :: Python :: Implementation",
            "Programming Language :: Python :: Implementation :: CPython",
            "Topic :: Scientific/Engineering :: Information Analysis"
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        "description": "# reveal-graph-embedding\n\nImplementation of community-based graph embedding for user classification.\n\nFeatures\n--------\n- Graph-based, multi-label user classification.\n- Implementation of the ARCTE (Absorbing Regularized Commute Times Embedding) algorithm for graph-based feature extraction.\n- Both python vanilla and cython-optimized versions.\n- Implementation of other feature extraction methods for graphs (Laplacian Eigenmaps, Louvain, MROC).\n- Evaluation score and time benchmarks.\n\nInstall\n-------\n### Required packages\n- numpy\n- scipy\n- h5py\n- scikit-learn\n- Cython\n- networkx\n- python-louvain\n\n### Installation\nTo install for all users on Unix/Linux:\n\n    python3.4 setup.py build\n    sudo python3.4 setup.py install\n  \nAlternatively:\n\n    pip install reveal-graph-embedding",
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        "keywords": "online-social-network user-centric-pagerank user-centric-community-detection graph-embedding Reveal-FP7",
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