| 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 | 237 | 2020 |
| 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 | 166 | 2022 |
| Digital twin network: Opportunities and challenges P Almasan, M Ferriol-Galmés, J Paillisse, J Suárez-Varela, D Perino, ... arXiv preprint arXiv:2201.01144, 2022 | 52 | 2022 |
| Network digital twin: Context, enabling technologies, and opportunities P Almasan, M Ferriol-Galmés, J Paillisse, J Suárez-Varela, D Perino, ... IEEE Communications Magazine 60 (11), 22-27, 2022 | 49 | 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 | 43 | 2022 |
| 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 | 38 | 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 | 22 | 2021 |
| ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning P Almasan, S Xiao, X Cheng, X Shi, P Barlet-Ros, A Cabellos-Aparicio Computer Networks 214, 109166, 2022 | 16* | 2022 |
| 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 | 15 | 2019 |
| Accelerating deep reinforcement learning for digital twin network optimization with evolutionary strategies C Güemes-Palau, P Almasan, S Xiao, X Cheng, X Shi, P Barlet-Ros, ... NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 1-5, 2022 | 8 | 2022 |
| Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges P Almasan, J Suárez-Varela, B Wu, S Xiao, P Barlet-Ros, ... arXiv preprint arXiv:2106.09754, 2021 | 6 | 2021 |
| Results and achievements of the ALLIANCE project: New network solutions for 5G and beyond D Careglio, S Spadaro, A Cabellos, JA Lazaro, P Barlet-Ros, JM Gene, ... Applied Sciences 11 (19), 9130, 2021 | 4 | 2021 |
| Leveraging Spatial and Temporal Correlations for Network Traffic Compression P Almasan, K Rusek, S Xiao, X Shi, X Cheng, A Cabellos-Aparicio, ... https://arxiv.org/abs/2301.08962, 2023 | 3 | 2023 |
| Fast traffic engineering by gradient descent with learned differentiable routing K Rusek, P Almasan, J Suárez-Varela, P Chołda, P Barlet-Ros, ... 2022 18th International Conference on Network and Service Management (CNSM …, 2022 | 3 | 2022 |
| Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks P Almasan, K Rusek, S Xiao, X Shi, X Cheng, A Cabellos-Aparicio, ... Proceedings of the 2nd on Graph Neural Networking Workshop 2023, 1-6, 2023 | 1 | 2023 |
| Enhancing 5G Radio Planning with Graph Representations and Deep Learning P Almasan, J Suárez-Varela, A Lutu, A Cabellos-Aparicio, P Barlet-Ros Proceedings of the 3rd ACM Workshop on 5G and Beyond Network Measurements …, 2023 | | 2023 |
| Towards network optimization using graph neural networks P Almasan Universitat Politècnica de Catalunya, 2019 | | 2019 |
| Securing the Control-plane Channel and Cache of Pull-based ID/LOC Protocols P Almasan, J Paillisse, A Rodriguez-Natal, P Barlet-Ros, F Coras, ... arXiv preprint arXiv:1803.08568, 2018 | | 2018 |
