| Unveiling the potential of Graph Neural Networks for robust Intrusion Detection D Pujol-Perich, J Suárez-Varela, A Cabellos-Aparicio, P Barlet-Ros WAIN '21, 2021 | 43 | 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 Magazine, 2021 | 26 | 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 | 22 | 2021 |
| IGNNITION: fast prototyping of graph neural networks for communication networks D Pujol-Perich, J Suárez-Varela, M Ferriol-Galmés, B Wu, S Xiao, ... Proceedings of the SIGCOMM'21 Poster and Demo Sessions, 71-73, 2021 | 3 | 2021 |
| NetXplain: Real-time explainability of graph neural networks applied to networking D Pujol-Perich, J Suárez-Varela, S Xiao, B Wu, A Cabellos-Aparicio, ... ITU Journal 2, 57-66, 2021 | 3 | 2021 |
| NetXplain: Real-time explainability of Graph Neural Networks applied to Computer Networks D Pujol-Perich, J Suárez-Varela, S Xiao, B Wu, A Cabellos-Aparicio, ... MLSys workshop on Graph Neural Networks and Systems (GNNSys), 2021 | 1 | 2021 |
| IGNNITION: A framework for fast prototyping of Graph Neural Networks D Pujol Perich, JR Suárez-Varela Maciá, M Ferriol Galmés, S Xiao, B Wu, ... Proceedings of the First MLSys Workshop on Graph Neural Networks and Systems …, 2021 | 1 | 2021 |
| Framework for Fast Prototyping of Graph Neural Networks DP Perich Universitat Politècnica de Catalunya. Facultat d'Informàtica de Barcelona, 2020 | 1 | 2020 |
| SADA: Semantic adversarial unsupervised domain adaptation for Temporal Action Localization D Pujol-Perich, A Clapés, S Escalera arXiv preprint arXiv:2312.13377, 2023 | | 2023 |
| Understanding and improving self-attention mechanisms D Pujol Perich Universitat Politècnica de Catalunya, 2022 | | 2022 |
