Ancien membre

Mohammed Errachid

Maîtrise

diplômé·e en 2011

Publications

  • 2026
    Amar, M. M., Mrabah, N., Bouguessa, M., Diallo, A. B. (2026) A Unified Perspective for Learning Graph Representations Across Multi-Level Abstractions. IEEE Transactions on Knowledge and Data Engineering, 4076-4092. IEEE Computer Society.
    DOI
  • 2026
    Abdous, K., Mrabah, N., Bouguessa, M. (2026) Modeling heterophily in multiplex graphs: An adaptive approach for node classification. Expert Systems with Applications, 132374-132374. Elsevier BV.
    DOI
  • 2026
    Haddad, M., Bouguessa, M. (2026) TrackGAE: Tracking Dynamic Community Evolution with Graph Autoencoders. Lecture notes in computer science, 193-202. Springer Science+Business Media.
    DOI
  • 2026
    Massoua, A. B., Bouguessa, M., Diallo, A. B. (2026) A Unified Framework for Reliable Survival Analysis. IEEE Transactions on Artificial Intelligence, 1-15. Institute of Electrical and Electronics Engineers.
    DOI
  • 2025
    Amar, M. M., Bouguessa, M., Diallo, A. B. (2025) MLCDG: Multi-Level Contrastive Graph Clustering in Dynamic Graphs. Lecture notes in computer science, 197-210. Springer Science+Business Media.
    DOI
  • 2025
    Mrabah, N., Bouguessa, M., Sami, S. (2025) Scalable Deep Subspace Clustering Network.
    DOI
  • 2025
    Bouguessa, M., Mrabah, N., Amdouni, Y. (2025) Smooth Transitions in Graph Self-Supervision: Mitigating Feature Twist Across Abstraction Levels.
    DOI
  • 2025
    Massoua, A. B., Bouguessa, M., Diallo, A. B. (2025) Survival Structured Probabilistic Coding: Uncertainty-Aware Representation Learning for Time-to-Event Prediction.
    DOI
  • 2024
    Abdous, K., Mrabah, N., Bouguessa, M. (2024) A Geometric Perspective for High-Dimensional Multiplex Graphs.
    DOI
  • 2024
    Ouali, M. A., Bouguessa, M., Ksantini, R. (2024) DfHM: A Hierarchical Approach for Matching Pairs of Images Using Graph Attention Neural Networks.
    DOI
  • 2024
    Massoua, A. B., Diallo, A. B., Bouguessa, M. (2024) Towards Robust Time-to-Event Prediction: Integrating the Variational Information Bottleneck with Neural Survival Model.
    DOI
  • 2023
    Mrabah, N., Bouguessa, M., Ksantini, R. (2023) Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node Clustering. Society for Industrial and Applied Mathematics eBooks, 100-108. Society for Industrial and Applied Mathematics.
    DOI