Yassine Abbahaddou

According to our database, Yassine Abbahaddou authored at least 15 papers between 2024 and 2026.

Collaborative distances:

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

2026

Which Graph Shift Operator? A Spectral Answer to an Empirical Question.

Yassine Abbahaddou

CoRR, February, 2026

Key Principles of Graph Machine Learning: Representation, Robustness, and Generalization.

Yassine Abbahaddou

CoRR, February, 2026

2025

Key Principles of Graph Machine Learning: Representation, Robustness, and Generalization. (Principes clés de l'apprentissage automatique sur les graphes: représentation, robustesse et généralisation).

Yassine Abbahaddou

PhD thesis, 2025

Enhancing Graph Classification Robustness with Singular Pooling.

Sofiane Ennadir, Oleg Smirnov, Yassine Abbahaddou, Lele Cao, Johannes F. Lutzeyer

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

A Geometry-Aware Metric for Mode Collapse in Time Series Generative Models.

Yassine Abbahaddou, Amine Mohamed Aboussalah

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation.

Yassine Abbahaddou, Fragkiskos D. Malliaros, Johannes F. Lutzeyer, Amine Mohamed Aboussalah, Michalis Vazirgiannis

Proceedings of the Forty-second International Conference on Machine Learning, 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

ADMP-GNN: Adaptive Depth Message Passing GNN.

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

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Grassmannian Geometry Meets Dynamic Mode Decomposition in DMD-GEN: A New Metric for Mode Collapse in Time Series Generative Models.

Amine Mohamed Aboussalah, Yassine Abbahaddou

CoRR, 2024

Gaussian Mixture Models Based Augmentation Enhances GNN Generalization.

Yassine Abbahaddou, Fragkiskos D. Malliaros, Johannes F. Lutzeyer, Amine Mohamed Aboussalah, Michalis Vazirgiannis

CoRR, 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

Centrality Graph Shift Operators for Graph Neural Networks.

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

CoRR, 2024

Graph Neural Networks on Discriminative Graphs of Words.

Yassine Abbahaddou, Johannes F. Lutzeyer, Michalis Vazirgiannis

CoRR, 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

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