Nairouz Mrabah

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
• 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
• 2024
  Abdous, K., Mrabah, N., Bouguessa, M. (2024) A Geometric Perspective for High-Dimensional Multiplex Graphs.
  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
• 2023
  Mrabah, N., Amar, M. M., Bouguessa, M., Diallo, A. B. (2023) Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective. Proceedings of the AAAI Conference on Artificial Intelligence, 9235-9242. Association for the Advancement of Artificial Intelligence.
  DOI
• 2023
  Abdous, K., Mrabah, N., Bouguessa, M. (2023) Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding. IEEE Transactions on Knowledge and Data Engineering, 1624-1637. IEEE Computer Society.
  DOI
• 2023
  Mrabah, N., Bouguessa, M., Touati, M. F., Ksantini, R. (2023) Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (Extended abstract).
  DOI
• 2023
  Mrabah, N., Amar, M. M., Bouguessa, M., Diallo, A. B. (2023) Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data.
  DOI
• 2023
  Mrabah, N., Bouguessa, M., Ksantini, R. (2023) A contrastive variational graph auto-encoder for node clustering. Pattern Recognition, 110209-110209. Elsevier BV.
  DOI
• 2022
  Mrabah, N., Bouguessa, M., Ksantini, R. (2022) Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering.
  DOI