Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN K Rusek, J Suárez-Varela, A Mestres, P Barlet-Ros, A Cabellos-Aparicio Proceedings of the 2019 ACM Symposium on SDN Research, 140-151, 2019 | 14 | 2019 |

Initial characterization of interstellar comet 2I/Borisov P Guzik, M Drahus, K Rusek, W Waniak, G Cannizzaro, ... Nature Astronomy 4 (1), 53-57, 2020 | 10 | 2020 |

Relaxation method in description of ram memory cell in rsfq computer KD Pomorski, H Akaike, A Fujimaki, K Rusek COMPEL-The international journal for computation and mathematics in …, 2019 | 10 | 2019 |

Risk-awareness in resilient networks design: value-at-risk is enough P Chołda, P Guzik, K Rusek 2014 16th International Telecommunications Network Strategy and Planning …, 2014 | 8 | 2014 |

Challenging the generalization capabilities of Graph Neural Networks for network modeling J Suárez-Varela, S Carol-Bosch, K Rusek, P Almasan, M Arias, ... Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, 114-115, 2019 | 7 | 2019 |

Risk mitigation in resilient networks P Chołda, P Guzik, K Rusek 2014 6th International Workshop on Reliable Networks Design and Modeling …, 2014 | 7 | 2014 |

Transient and stationary characteristics of a packet buffer modelled as an MAP/SM/1/b system K Rusek, L Janowski, Z Papir International Journal of Applied Mathematics and Computer Science 24 (2 …, 2014 | 7 | 2014 |

Message-passing neural networks learn little’s law K Rusek, P Chołda IEEE Communications Letters 23 (2), 274-277, 2018 | 5 | 2018 |

Two-stage neural network regression of eye location in face images K Rusek, P Guzik Multimedia Tools and Applications 75 (17), 10617-10630, 2016 | 4 | 2016 |

Effective risk assessment in resilient communication networks K Rusek, P Guzik, P Chołda Journal of Network and Systems Management 24 (3), 491-515, 2016 | 4 | 2016 |

Correct router interface modeling K Rusek, L Janowski, ZB Papir Proceedings of the 2nd ACM/SPEC International Conference on Performance …, 2011 | 4 | 2011 |

Lda for face profile detection K Rusek, T Orzechowski, A Dziech International Conference on Multimedia Communications, Services and Security …, 2011 | 4 | 2011 |

Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case P Almasan, J Suárez-Varela, A Badia-Sampera, K Rusek, P Barlet-Ros, ... arXiv preprint arXiv:1910.07421, 2019 | 3 | 2019 |

Upper bound for failure risk in networks P Chołda, K Rusek, P Guzik Electronic Notes in Discrete Mathematics 51, 31-38, 2016 | 2 | 2016 |

Efficient modelling of traffic and quality of scalable video coding (SVC) encoded streams P Wydrych, K Rusek, P Cholda IEEE communications letters 17 (12), 2372-2375, 2013 | 2 | 2013 |

Towards more realistic network models based on Graph Neural Networks A Badia-Sampera, J Suárez-Varela, P Almasan, K Rusek, P Barlet-Ros, ... Proceedings of the 15th International Conference on emerging Networking …, 2019 | 1 | 2019 |

RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN K Rusek, J Suárez-Varela, P Almasan, P Barlet-Ros, A Cabellos-Aparicio arXiv preprint arXiv:1910.01508, 2019 | 1 | 2019 |

Interstellar comet 2I/Borisov P Guzik, M Drahus, K Rusek, W Waniak, G Cannizzaro, ... arXiv preprint arXiv:1909.05851, 2019 | 1 | 2019 |

Generalized Score Distribution L Janowski, B Ćmiel, K Rusek, J Nawała, Z Li arXiv preprint arXiv:1909.04369, 2019 | 1 | 2019 |

Interstellar comet gb00234 P Guzik, M Drahus, K Rusek, W Waniak, G Cannizzaro, IP Marazuela The Astronomer's Telegram 13100, 2019 | 1 | 2019 |