Is machine learning ready for traffic engineering optimization? G Bernárdez, J Suárez-Varela, A López, B Wu, S Xiao, X Cheng, ... 2021 IEEE 29th International Conference on Network Protocols (ICNP), 1-11, 2021 | 32 | 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), 9-16, 2021 | 23 | 2021 |
Magnneto: A graph neural network-based multi-agent system for traffic engineering G Bernárdez, J Suárez-Varela, A López, X Shi, S Xiao, X Cheng, ... IEEE Transactions on Cognitive Communications and Networking 9 (2), 494-506, 2023 | 7 | 2023 |
Hypergraph neural networks through the lens of message passing: a common perspective to homophily and architecture design L Telyatnikov, MS Bucarelli, G Bernardez, O Zaghen, S Scardapane, P Lio arXiv preprint arXiv:2310.07684, 2023 | 3 | 2023 |
Icml 2023 topological deep learning challenge: Design and results M Papillon, M Hajij, A Myers, F Frantzen, G Zamzmi, H Jenne, J Mathe, ... Topological, Algebraic and Geometric Learning Workshops 2023, 3-8, 2023 | 3 | 2023 |
Proximal policy optimization with graph neural networks for optimal power flow Á López-Cardona, G Bernárdez, P Barlet-Ros, A Cabellos-Aparicio arXiv preprint arXiv:2212.12470, 2022 | 3 | 2022 |
TopoX: a suite of Python packages for machine learning on topological domains M Hajij, M Papillon, F Frantzen, J Agerberg, I AlJabea, R Ballester, ... arXiv preprint arXiv:2402.02441, 2024 | 1 | 2024 |
Topological network traffic compression G Bernárdez, L Telyatnikov, E Alarcón, A Cabellos-Aparicio, P Barlet-Ros, ... Proceedings of the 2nd on Graph Neural Networking Workshop 2023, 7-12, 2023 | 1 | 2023 |
Multi-agent graph learning-based optimization and its applications to computer networks G Bernárdez Gil Universitat Politècnica de Catalunya, 2024 | | 2024 |
Topological Graph Signal Compression G Bernárdez, L Telyatnikov, E Alarcón, A Cabellos-Aparicio, P Barlet-Ros, ... arXiv preprint arXiv:2308.11068, 2023 | | 2023 |
GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters G Bernárdez, J Suárez-Varela, X Shi, S Xiao, X Cheng, P Barlet-Ros, ... arXiv preprint arXiv:2308.04905, 2023 | | 2023 |
Log-Distributional Approach for Learning Covariate Shift Ratios G Bernárdez Gil Universitat Politècnica de Catalunya, 2019 | | 2019 |
Medidas monetarias de riesgo y su aplicación a la Conic-finance G Bernárdez Gil | | 2016 |
Fundamental constants of nature and their possible time variation G Bernárdez Gil | | 2016 |