Nairouz Mrabah

Orcid: 0000-0002-6517-0292

According to our database1, Nairouz Mrabah authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2024
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding.
IEEE Trans. Knowl. Data Eng., April, 2024

2023
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering.
IEEE Trans. Knowl. Data Eng., September, 2023

A Contrastive Variational Graph Auto-Encoder for Node Clustering.
CoRR, 2023

Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node Clustering.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (Extended abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Adversarial Deep Embedded Clustering: On a better trade-off between Feature Randomness and Feature Drift (Extended abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Adversarial Deep Embedded Clustering: On a Better Trade-off Between Feature Randomness and Feature Drift.
IEEE Trans. Knowl. Data Eng., 2022

Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2020
Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids construction.
Neural Networks, 2020

2019
Deep Clustering with a Dynamic Autoencoder.
CoRR, 2019


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