3 papers
cs.LG2026
Modeling Heterophily in Multiplex Graphs: An Adaptive Approach for Node Classification
Kamel Abdous, Nairouz Mrabah, Mohamed Bouguessa
Existing multiplex graph models often assume homophily, where connected nodes tend to belong to the same class or share similar attributes. Consequently, these models may struggle…
cs.CV2025
Scalable Deep Subspace Clustering Network
Nairouz Mrabah, Mohamed Bouguessa, Sihem Sami
Subspace clustering methods face inherent scalability limits due to the cost (with denoting the number of data samples) of constructing full affinities and…
cs.LG2025
A Geometric Perspective for High-Dimensional Multiplex Graphs
Kamel Abdous, Nairouz Mrabah, Mohamed Bouguessa
High-dimensional multiplex graphs are characterized by their high number of complementary and divergent dimensions. The existence of multiple hierarchical latent relations between…