| 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 | 4* | 2022 |
| A Simple and Yet Fairly Effective Defense for Graph Neural Networks S Ennadir, Y Abbahaddou, JF Lutzeyer, M Vazirgiannis, H Boström arXiv preprint arXiv:2402.13987, 2024 | 1 | 2024 |
| Interpretable graph neural networks for tabular data A Alkhatib, S Ennadir, H Boström, M Vazirgiannis arXiv preprint arXiv:2308.08945, 2023 | 1 | 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 | | 2023 |
| Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks Y ABBAHADDOU, S ENNADIR, JF Lutzeyer, M Vazirgiannis, H Boström The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
| 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 | | 2023 |
| 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 |
| Generating Graph Perturbations to Enhance the Generalization of Gnns S Ennadir, G Nikolentzos, M Vazirgiannis, H Boström Available at SSRN 4578708, 0 | | |
Henrik BoströmProfessor of computer science - data science systems, KTH Royal Institute of TechnologyVerified email at kth.se
