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  • AI Department @ WUST
  • Wrocław (Breslau), Lower Silesia, Poland

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@network-science-lab

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  1. network_diffusion network_diffusion Public

    Python package for simulating spreading phenomena in complex networks

    Python 27 6

  2. network-science-lab/top-spreaders-dataset network-science-lab/top-spreaders-dataset Public

    TopSpreadersDataset - more than 200 multilayer networks with labelled spreading potentials of their actors

    Python 3

  3. network-science-lab/DCBA-trainer network-science-lab/DCBA-trainer Public

    Training pipeline for DCBA, a contrastive framework for inferring stochastic graph generator configurations from observed networks.

    Python 2

  4. KrainskiL/MLNABCDGraphGenerator.jl KrainskiL/MLNABCDGraphGenerator.jl Public

    Generate multilayer networks with Julia

    Julia 5

  5. network-science-lab/infmax-mds-ltm-mln network-science-lab/infmax-mds-ltm-mln Public

    Experimental repo for the paper: https://doi.org/10.1093/comnet/cnaf036

    Python 1

  6. rank-refined-seeding-bc-infmax-mlnets-ltm rank-refined-seeding-bc-infmax-mlnets-ltm Public

    Experimental repo for the paper: https://arxiv.org/abs/2405.18059

    Jupyter Notebook 2 1