| 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 | 152 | 2020 |
| 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 | 138 | 2019 |
| 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 | 110 | 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 | 50 | 2019 |
| 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 | 36 | 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 | 35* | 2022 |
| 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 | 32 | 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 | 32 | 2017 |
| 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 | 31 | 2019 |
| Flow monitoring in Software-Defined Networks: Finding the accuracy/performance tradeoffs J Suárez-Varela, P Barlet-Ros Computer Networks 135, 289-301, 2018 | 31 | 2018 |
| Detecting cryptocurrency miners with NetFlow/IPFIX network measurements J Zayuelas i Muńoz, J Suárez-Varela, P Barlet-Ros IEEE International Symposium on Measurements and Networking (M&N), 2019 | 27 | 2019 |
| 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 | 21 | 2021 |
| SBAR: SDN flow-Based monitoring and Application Recognition J Suárez-Varela, P Barlet-Ros Proceedings of the Symposium on SDN Research (SOSR), 2018 | 18 | 2018 |
| 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 | 14 | 2021 |
| 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 | 14 | 2021 |
| 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 | 13 | 2022 |
| Reinventing NetFlow for OpenFlow Software-Defined Networks (technical report) J Suárez-Varela, P Barlet-Ros arXiv preprint arXiv:1702.06803, 2017 | 13 | 2017 |
| 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 ACM CoNEXT student workshop, 14-16, 2019 | 12 | 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 | 11 | 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 | 10 | 2022 |
