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2020 – today
- 2024
[b1]Chakib Fettal:
Contributions to scalable clustering of networks and graphs. (Contributions à une efficiente classification non-supervisée de réseaux et de graphes). Paris Cité University, France, 2024- [j1]Chakib Fettal
, Lazhar Labiod, Mohamed Nadif:
Boosting Subspace Co-Clustering via Bilateral Graph Convolution. IEEE Trans. Knowl. Data Eng. 36(3): 960-971 (2024) - [c9]Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
More Discriminative Sentence Embeddings via Semantic Graph Smoothing. EACL (2) 2024: 8-13 - [i3]Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Graph Cuts with Arbitrary Size Constraints Through Optimal Transport. CoRR abs/2402.04732 (2024) - [i2]Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Scalable Multi-view Clustering via Explicit Kernel Features Maps. CoRR abs/2402.04794 (2024) - [i1]Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
More Discriminative Sentence Embeddings via Semantic Graph Smoothing. CoRR abs/2402.12890 (2024) - 2023
- [c8]Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Scalable Attributed-Graph Subspace Clustering. AAAI 2023: 7559-7567 - [c7]Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Subspace Co-clustering avec Convolution Bilatérale sur Graphe. EGC 2023: 475-482 - [c6]Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Biclustering Basé sur le Transport Optimal. EGC 2023: 539-546 - [c5]Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering. WSDM 2023: 303-311 - 2022
- [c4]Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Subspace Co-clustering with Two-Way Graph Convolution. CIKM 2022: 3938-3942 - [c3]Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Apprentissage Joint de la Représentation et du Clustering avec un Réseau Convolutif sur Graphe. EGC 2022: 363-370 - [c2]Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Efficient and Effective Optimal Transport-Based Biclustering. NeurIPS 2022 - [c1]Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Efficient Graph Convolution for Joint Node Representation Learning and Clustering. WSDM 2022: 289-297
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