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Nairouz Mrabah
ORCID
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 14
Top Topics
Normalized Cut
Graph Clustering
Extended Abstract
Nodes Of A Graph
Top Venues
CoRR
ICDE
IEEE Trans. Knowl. Data Eng.
IJCAI
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Publications
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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)