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Krzysztof Rusek
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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
2432020
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
1812019
Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case
P Almasan, J Suárez-Varela, K Rusek, P Barlet-Ros, A Cabellos-Aparicio
Computer Communications 196, 184-194, 2022
1592022
Initial characterization of interstellar comet 2I/Borisov
P Guzik, M Drahus, K Rusek, W Waniak, G Cannizzaro, ...
Nature Astronomy 4 (1), 53-57, 2020
1302020
Graph neural networks for communication networks: Context, use cases and opportunities
J Suárez-Varela, P Almasan, M Ferriol-Galmés, K Rusek, F Geyer, ...
IEEE network, 2022
442022
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
392019
Message-passing neural networks learn little’s law
K Rusek, P Cho³da
IEEE Communications Letters 23 (2), 274-277, 2018
352018
Routenet-erlang: A graph neural network for network performance evaluation
M Ferriol-Galmés, K Rusek, J Suárez-Varela, S Xiao, X Shi, X Cheng, ...
IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 2018-2027, 2022
302022
RouteNet-Fermi: Network modeling with graph neural networks
M Ferriol-Galmés, J Paillisse, J Suárez-Varela, K Rusek, S Xiao, X Shi, ...
IEEE/ACM transactions on networking, 2023
282023
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
232021
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
152019
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
142018
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
122020
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
122019
Effective risk assessment in resilient communication networks
K Rusek, P Guzik, P Cho³da
Journal of Network and Systems Management 24, 491-515, 2016
122016
Interstellar comet gb00234
P Guzik, M Drahus, K Rusek, W Waniak, G Cannizzaro, IP Marazuela
The Astronomer's Telegram 13100, 1, 2019
102019
Two-stage neural network regression of eye location in face images
K Rusek, P Guzik
Multimedia Tools and Applications 75, 10617-10630, 2016
102016
Risk-awareness in resilient networks design: value-at-risk is enough
P Cho³da, P Guzik, K Rusek
2014 16th International Telecommunications Network Strategy and Planning …, 2014
92014
Scaling graph-based deep learning models to larger networks
M Ferriol-Galmés, J Suárez-Varela, K Rusek, P Barlet-Ros, ...
arXiv preprint arXiv:2110.01261, 2021
72021
Risk mitigation in resilient networks
P Cho³da, P Guzik, K Rusek
2014 6th International Workshop on Reliable Networks Design and Modeling …, 2014
72014
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Articles 1–20