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    [3] O. Hein, M. Schwind, and W. K ̈onig. Scale-free networks: The impact of fat tailed degree distribution on diffusion and communication processes. Wirtschaftsinformatik, 48(4):267–275, 2006.

    [4] T.I. Lee, N.J. Rinaldi, F. Robert, D.T. Odom, Z. Bar-Joseph, G.K. Gerber, N.M. Hannett, C.T. Harbison, C.M. Thompson, I. Simon, et al. Transcriptional regulatory networks in saccharomyces cerevisiae. Science Signalling, 298(5594):799, 2002.

    [5] N. Srivastava, G. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov. Dropout: A simple way to prevent neural networks from overfitting. Journal of Machine Learning Research, 15:1929–1958, 2014.

    [6] S.M. van Dongen. Graph clustering by flow simulation. PhD thesis, University of Utrecht, The Nether- lands, 2000.

    [7] U. Von Luxburg. A tutorial on spectral clustering. Statistics and computing, 17(4):395–416, 2007.

    [8] Wikipedia. Graph partitioning. en.Wikipedia.org/wiki/Graph_partitioning, 2012.

    [9] Wikipedia. Minimum cut. en.Wikipedia.org/wiki/Minimum_cut, 2012.


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