Nairouz Mrabah

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Graph Clustering

Extended Abstract

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Kamel Abdous, Nairouz Mrabah, Mohamed Bouguessa
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
A contrastive variational graph auto-encoder for node clustering. Pattern Recognit. 149 (2024)
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node Clustering. SDM (2023)
Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (Extended abstract). ICDE (2023)
Nairouz Mrabah, Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Banire Diallo
Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data. IJCAI (2023)
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
A Contrastive Variational Graph Auto-Encoder for Node Clustering. CoRR (2023)
Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
Adversarial Deep Embedded Clustering: On a better trade-off between Feature Randomness and Feature Drift (Extended abstract). ICDE (2023)
Nairouz Mrabah, Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Banire Diallo
Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective. AAAI (2023)
Kamel Abdous, Nairouz Mrabah, Mohamed Bouguessa
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding. CoRR (2023)
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
Adversarial Deep Embedded Clustering: On a Better Trade-off Between Feature Randomness and Feature Drift. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering. IJCAI (2022)
Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering. CoRR (2021)
Nairouz Mrabah, Naimul Mefraz Khan, Riadh Ksantini, Zied Lachiri
Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids construction. Neural Networks 130 (2020)
Nairouz Mrabah, Naimul Mefraz Khan, Riadh Ksantini
Deep Clustering with a Dynamic Autoencoder. CoRR (2019)
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift. CoRR (2019)