Sofiane Ennadir

According to our database, Sofiane Ennadir authored at least 14 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Joint Embeddings Go Temporal.

Sofiane Ennadir, Siavash Golkar, Leopoldo Sarra

CoRR, September, 2025

Efficient Data Selection for Training Genomic Perturbation Models.

George Panagopoulos, Johannes F. Lutzeyer, Sofiane Ennadir, Michalis Vazirgiannis, Jun Pang

CoRR, March, 2025

Unified Approaches in Self-Supervised Event Stream Modeling: Progress and Prospects.

Levente Zólyomi, Tianze Wang, Sofiane Ennadir, Oleg Smirnov, Lele Cao

CoRR, February, 2025

Expressivity of Representation Learning on Continuous-Time Dynamic Graphs: An Information-Flow Centric Review.

Sofiane Ennadir, Gabriela Zarzar Gandler, Filip Cornell, Lele Cao, Oleg Smirnov, Tianze Wang, Levente Zólyomi, Björn Brinne, Sahar Asadi

Trans. Mach. Learn. Res., 2025

Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic Dialect.

Guokan Shang, Hadi Abdine, Yousef Khoubrane, Amr Mohamed, Yassine Abbahaddou, Sofiane Ennadir, Imane Momayiz, Xuguang Ren, Eric Moulines, Preslav Nakov, Michalis Vazirgiannis, Eric P. Xing

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Post-Hoc Robustness Enhancement in Graph Neural Networks with Conditional Random Fields.

Yassine Abbahaddou, Sofiane Ennadir, Johannes F. Lutzeyer, Fragkiskos D. Malliaros, Michalis Vazirgiannis

CoRR, 2024

Generating graph perturbations to enhance the generalization of GNNs.

Sofiane Ennadir, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström

AI Open, 2024

If You Want to Be Robust, Be Wary of Initialization.

Sofiane Ennadir, Johannes F. Lutzeyer, Michalis Vazirgiannis, El Houcine Bergou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks.

Yassine Abbahaddou, Sofiane Ennadir, Johannes F. Lutzeyer, Michalis Vazirgiannis, Henrik Boström

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Interpretable Graph Neural Networks for Tabular Data.

Amr Alkhatib, Sofiane Ennadir, Henrik Boström, Michalis Vazirgiannis

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

A Simple and Yet Fairly Effective Defense for Graph Neural Networks.

Sofiane Ennadir, Yassine Abbahaddou, Johannes F. Lutzeyer, Michalis Vazirgiannis, Henrik Boström

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Conformalized Adversarial Attack Detection for Graph Neural Networks.

Sofiane Ennadir, Amr Alkhatib, Henrik Boström, Michalis Vazirgiannis

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

Approximating Score-based Explanation Techniques Using Conformal Regression.

Amr Alkhatib, Henrik Boström, Sofiane Ennadir, Ulf Johansson

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

UnboundAttack: Generating Unbounded Adversarial Attacks to Graph Neural Networks.

Sofiane Ennadir, Amr Alkhatib, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström

Proceedings of the Complex Networks & Their Applications XII, 2023