UnboundAttack: Generating Unbounded Adversarial Attacks to Graph Neural Networks. - Sofiane Ennadir; Amr Alkhatib; Giannis Nikolentzos; Michalis Vazirgiannis; Henrik Boström (COMPLEX NETWORKS (1), 2023)

Approximating Score-based Explanation Techniques Using Conformal Regression. - Amr Alkhatib; Henrik Boström; Sofiane Ennadir; Ulf Johansson (COPA, 2023)

Conformalized Adversarial Attack Detection for Graph Neural Networks. - Sofiane Ennadir; Amr Alkhatib; Henrik Boström; Michalis Vazirgiannis (COPA, 2023)

A Simple and Yet Fairly Effective Defense for Graph Neural Networks. - Sofiane Ennadir; Yassine Abbahaddou; Johannes F. Lutzeyer; Michalis Vazirgiannis; Henrik Boström (AAAI, 2024)

Interpretable Graph Neural Networks for Tabular Data. - Amr Alkhatib; Sofiane Ennadir; Henrik Boström; Michalis Vazirgiannis (ECAI, 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 (ICLR, 2024)

If You Want to Be Robust, Be Wary of Initialization. - Sofiane Ennadir; Johannes F. Lutzeyer; Michalis Vazirgiannis; El Houcine Bergou (NeurIPS, 2024)

Generating graph perturbations to enhance the generalization of GNNs. - Sofiane Ennadir; Giannis Nikolentzos; Michalis Vazirgiannis; Henrik Boström (AI Open, 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)

Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic Dialect. - Guokan Shang; Hadi Abdine; Yousef Khoubrane; Amr Mohamed 005; Yassine Abbahaddou; Sofiane Ennadir; Imane Momayiz; Xuguang Ren; Eric Moulines; Preslav Nakov; Michalis Vazirgiannis; Eric P. Xing (COLING Workshops, 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)

Unified Approaches in Self-Supervised Event Stream Modeling: Progress and Prospects. - Levente Zólyomi; Tianze Wang; Sofiane Ennadir; Oleg Smirnov; Lele Cao (CoRR, 2025)

Efficient Data Selection for Training Genomic Perturbation Models. - George Panagopoulos; Johannes F. Lutzeyer; Sofiane Ennadir; Michalis Vazirgiannis; Jun Pang 001 (CoRR, 2025)