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 (JSAC), 2020 | 305 | 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, ... Computer Communications, 2022 | 227 | 2022 |
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 ACM Symposium on SDN Research (SOSR), 140-151, 2019 | 209 | 2019 |
Network Digital Twin: Context, Enabling Technologies and Opportunities P Almasan, M Ferriol-Galmés, J Paillisse, J Suárez-Varela, D Perino, ... IEEE Communications Magazine, 2022 | 172* | 2022 |
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 | 72 | 2022 |
Unveiling the potential of graph neural networks for robust intrusion detection D Pujol-Perich, J Suárez-Varela, A Cabellos-Aparicio, P Barlet-Ros ACM SIGMETRICS Performance Evaluation Review 49 (4), 111-117, 2022 | 66 | 2022 |
Routing in optical transport networks with deep reinforcement learning J Suárez-Varela, A Mestres, J Yu, L Kuang, H Feng, A Cabellos-Aparicio, ... Journal of Optical Communications and Networking 11, 547-558, 2019 | 61 | 2019 |
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 | 51 | 2023 |
Is Machine Learning Ready for Traffic Engineering Optimization? G Bernárdez, J Suárez-Varela, A López, B Wu, S Xiao, X Cheng, ... IEEE International Conference on Network Protocols (ICNP), 2021 | 51 | 2021 |
Building a Digital Twin for Network Optimization Using Graph Neural Networks M Ferriol-Galmés, J Suárez-Varela, J Paillise, X Shi, S Xiao, X Cheng, ... Computer Networks, 2022 | 50 | 2022 |
Feature engineering for Deep Reinforcement Learning based routing J Suárez-Varela, A Mestres, J Yu, L Kuang, H Feng, P Barlet-Ros, ... IEEE International Conference on Communications (ICC), 2019 | 50 | 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 ACM SIGCOMM Posters and Demos, 114-115, 2019 | 44 | 2019 |
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 - IEEE International Conference on Computer Communications, 2022 | 43 | 2022 |
Detecting cryptocurrency miners with NetFlow/IPFIX network measurements J Zayuelas i Muñoz, J Suárez-Varela, P Barlet-Ros IEEE International Symposium on Measurements and Networking (M&N), 2019 | 42 | 2019 |
Towards a NetFlow implementation for OpenFlow Software-Defined Networks J Suárez-Varela, P Barlet-Ros 29th International Teletraffic Congress (ITC), 2017 1, 187-195, 2017 | 37 | 2017 |
Flow monitoring in Software-Defined Networks: Finding the accuracy/performance tradeoffs J Suárez-Varela, P Barlet-Ros Computer Networks 135, 289-301, 2018 | 36 | 2018 |
Routing Based on Deep Reinforcement Learning in Optical Transport Networks J Suárez-Varela, A Mestres, J Yu, L Kuang, H Feng, P Barlet-Ros, ... Optical Fiber Communications Conference and Exhibition (OFC), San Diego, USA, 2019 | 35 | 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), 2021 | 27 | 2021 |
IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems D Pujol-Perich, J Suárez-Varela, M Ferriol, S Xiao, B Wu, ... IEEE Network 35 (6), 171-177, 2021 | 26 | 2021 |
SBAR: SDN flow-Based monitoring and Application Recognition J Suárez-Varela, P Barlet-Ros Proceedings of the Symposium on SDN Research (SOSR), 2018 | 26 | 2018 |