| 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 | 95 | 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 | 87 | 2020 |
| 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 IEEE Journal on Selected Areas in Communications 38 (10), 2260-2270, 2020 | 79 | 2020 |
| Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case P Almasan, J Suárez-Varela, A Badia-Sampera, K Rusek, P Barlet-Ros, ... arXiv preprint arXiv:1910.07421, 2019 | 53 | 2019 |
| 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 | 22 | 2019 |
| Message-passing neural networks learn little’s law K Rusek, P Chołda IEEE Communications Letters 23 (2), 274-277, 2018 | 21 | 2018 |
| 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 …, 2018 | 13 | 2018 |
| Effective risk assessment in resilient communication networks K Rusek, P Guzik, P Chołda Journal of Network and Systems Management 24 (3), 491-515, 2016 | 11 | 2016 |
| Describing Subjective Experiment Consistency by p-Value P--P Plot J Nawala, L Janowski, B Cmiel, K Rusek Proceedings of the 28th ACM International Conference on Multimedia, 852-861, 2020 | 10 | 2020 |
| 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 | 9 | 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 |
| Interstellar comet gb00234 P Guzik, M Drahus, K Rusek, W Waniak, G Cannizzaro, IP Marazuela The Astronomer's Telegram 13100, 1, 2019 | 7 | 2019 |
| Two-stage neural network regression of eye location in face images K Rusek, P Guzik Multimedia Tools and Applications 75 (17), 10617-10630, 2016 | 7 | 2016 |
| 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 |
| 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 | 6 | 2019 |
| The graph neural networking challenge: a worldwide competition for education in AI/ML for networks J Suárez-Varela, M Ferriol-Galmés, A López, P Almasan, G Bernárdez, ... ACM SIGCOMM Computer Communication Review 51 (3), 9-16, 2021 | 5 | 2021 |
| LDA for face profile detection K Rusek, T Orzechowski, A Dziech International Conference on Multimedia Communications, Services and Security …, 2011 | 5 | 2011 |
| Generalized score distribution L Janowski, B Ćmiel, K Rusek, J Nawała, Z Li arXiv preprint arXiv:1909.04369, 2019 | 4 | 2019 |
| Notation for subject answer analysis L Janowski, J Nawała, W Robitza, Z Li, L Kasula, K Rusek arXiv preprint arXiv:1903.05940, 2019 | 4 | 2019 |
Albert Cabellos-AparicioUPC-BarcelonaTechVerified email at ac.upc.edu
