| A Simple and Yet Fairly Effective Defense for Graph Neural Networks S Ennadir, Y Abbahaddou, JF Lutzeyer, M Vazirgiannis, H Boström Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24), 2024 | 14 | 2024 |
| Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks Y Abbahaddou*, S Ennadir*, JF Lutzeyer, M Vazirgiannis, H Boström International Conference on Learning Representations (ICLR 2024), 2024 | 12 | 2024 |
| Structure-Aware Antibiotic Resistance Classification Using Graph Neural Networks A Qabel, S Ennadir, G Nikolentzos, JF Lutzeyer, M Chatzianastasis, ... NeurIPS 2022 AI for Science: Progress and Promises, 2022 | 8* | 2022 |
| Approximating score-based explanation techniques using conformal regression A Alkhatib, H Bostrom, S Ennadir, U Johansson Conformal and Probabilistic Prediction with Applications, 450-469, 2023 | 6 | 2023 |
| Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic Dialect G Shang, H Abdine, Y Khoubrane, A Mohamed, Y Abbahaddou, ... arXiv preprint arXiv:2409.17912, 2024 | 5 | 2024 |
| Interpretable Graph Neural Networks for Tabular Data A Alkhatib, S Ennadir, H Boström, M Vazirgiannis ECAI 2024 - 27th European Conference on Artificial Intelligence, 2023 | 5 | 2023 |
| UnboundAttack: Generating Unbounded Adversarial Attacks to Graph Neural Networks S Ennadir, A Alkhatib, G Nikolentzos, M Vazirgiannis, H Boström International Conference on Complex Networks and Their Applications, 100-111, 2023 | 1 | 2023 |
| Unified Approaches in Self-Supervised Event Stream Modeling: Progress and Prospects L Zólyomi, T Wang, S Ennadir, O Smirnov, L Cao arXiv preprint arXiv:2502.04899, 2025 | | 2025 |
| Expressivity of Representation Learning on Continuous-Time Dynamic Graphs: An Information-Flow Centric Review S Ennadir, GZ Gandler, F Cornell, L Cao, O Smirnov, T Wang, L Zólyomi, ... arXiv preprint arXiv:2412.03783, 2024 | | 2024 |
| If You Want to Be Robust, Be Wary of Initialization S Ennadir, JF Lutzeyer, M Vazirgiannis, E houcine Bergou The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | | 2024 |
| Post-Hoc Robustness Enhancement in Graph Neural Networks with Conditional Random Fields Y Abbahaddou, S Ennadir, JF Lutzeyer, FD Malliaros, M Vazirgiannis arXiv preprint arXiv:2411.05399, 2024 | | 2024 |
| Generating graph perturbations to enhance the generalization of GNNs S Ennadir, G Nikolentzos, M Vazirgiannis, H Boström AI Open 5, 216-223, 2024 | | 2024 |
| Conformalized Adversarial Attack Detection for Graph Neural Networks S Ennadir, A Alkhatib, H Bostrom, M Vazirgiannis Conformal and Probabilistic Prediction with Applications, 311-323, 2023 | | 2023 |
| Adversarially Robust Graph Classification: A Pooling-Based Defense Framework S ENNADIR, Y ABBAHADDOU, JF Lutzeyer, H Boström, M Vazirgiannis | | |
| Joint Embedding go Temporal S Ennadir, S Golkar, L Sarra NeurIPS Workshop on Time Series in the Age of Large Models, 0 | | |
Michalis VazirgiannisDistinguished Professor, Ecole Polytechnique, Institute Polytechnique de ParisEmail yang diverifikasi di lix.polytechnique.fr