Mohamed Bouguessa

Université du Québec à Montréal — Canada

Physics and Astronomy · Physical Sciences

15h-index985citations73works0.12yr avg
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Research Topics

Complex Network Analysis Techniques(27), Advanced Graph Neural Networks(14), Anomaly Detection Techniques and Applications(13), Advanced Clustering Algorithms Research(11), Opinion Dynamics and Social Influence(7)

Publications73 total

TrackGAE: Tracking Dynamic Community Evolution with Graph Autoencoders
Lecture notes in computer science·2026
Scalable Deep Subspace Clustering Network
arXiv (Cornell University)·2025Open Access
Survival Structured Probabilistic Coding: Uncertainty-Aware Representation Learning for Time-to-Event Prediction
2025
Scalable Deep Subspace Clustering Network
2025Open Access
MLCDG: Multi-Level Contrastive Graph Clustering in Dynamic Graphs
Lecture notes in computer science·2025
Modeling Heterophily in Multiplex Graphs: An Adaptive Approach for Node Classification
SSRN Electronic Journal·2025Open Access
A Geometric Perspective for High-Dimensional Multiplex Graphs
2024Open Access
Towards Robust Time-to-Event Prediction: Integrating the Variational Information Bottleneck with Neural Survival Model
2024· 1 cited
DfHM: A Hierarchical Approach for Matching Pairs of Images Using Graph Attention Neural Networks
2024
A contrastive variational graph auto-encoder for node clustering
Pattern Recognition·2023· 21 citedOpen Access
Tracking User Sentiment Changes on Social Networks
2023Open Access
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding
IEEE Transactions on Knowledge and Data Engineering·2023· 10 citedOpen Access
Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data
2023· 1 citedOpen Access
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·2023· 1 citedOpen Access
Modeling Time-Varying User Attitudes in Social Media
2023
Modeling Regime Shifts in Multiple Time Series
ACM Transactions on Knowledge Discovery from Data·2023· 1 cited
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (Extended abstract)
2023· 4 cited
Adversarial Deep Embedded Clustering: On a better trade-off between Feature Randomness and Feature Drift (Extended abstract)
2023· 1 cited
Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node Clustering
Society for Industrial and Applied Mathematics eBooks·2023· 4 cited
A Time-Dependent-Based Approach to Enhance Self-Harm Prediction
2022
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Frequent Co-authors

Shengrui Wang(17), Nairouz Mrabah(10), Riadh Ksantini(9), Etienne Gael Tajeuna(9), Mohamed Fawzi Touati(3), Oualid Boutemine(3), Amani Chouchane(3), Benoît Dumoulin(2), Abdoulaye Baniré Diallo(2), Haojun Sun(1), Lotfi Romdhane(1), Eman Bashir(1), Qingshan Jiang(1), Kamel Abdous(1), Jéhan Rubin(1), Adel Nassim Henniche(1), Naouel Moha(1), Nabila Bousbia(1), Farnoosh Fathaliani(1), Fares Ben Slimane(1)