Chakib Fettal

17 papers A* 2A 3Journal 6Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scalable multi-view clustering via explicit kernel features maps. Data Min. Knowl. Discov. Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2025	—	`conf`	Contributions à une efficiente classification non-supervisée de réseaux et de graphes. EGC Chakib Fettal
2024	J	`jnl`	Boosting Subspace Co-Clustering via Bilateral Graph Convolution. IEEE Trans. Knowl. Data Eng. Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2024	—	`—`	Contributions to scalable clustering of networks and graphs. (Contributions à une efficiente classification non-supervisée de réseaux et de graphes). Chakib Fettal
2024	J	`jnl`	Graph Cuts with Arbitrary Size Constraints Through Optimal Transport. CoRR Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2024	J	`jnl`	Graph Cuts with Arbitrary Size Constraints Through Optimal Transport. Trans. Mach. Learn. Res. Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2024	—	`conf`	More Discriminative Sentence Embeddings via Semantic Graph Smoothing. EACL (2) Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2024	J	`jnl`	More Discriminative Sentence Embeddings via Semantic Graph Smoothing. CoRR Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2024	J	`jnl`	Scalable Multi-view Clustering via Explicit Kernel Features Maps. CoRR Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2023	—	`conf`	Biclustering Basé sur le Transport Optimal. EGC Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2023	A*	`conf`	Scalable Attributed-Graph Subspace Clustering. AAAI Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2023	A	`conf`	Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering. WSDM Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2023	—	`conf`	Subspace Co-clustering avec Convolution Bilatérale sur Graphe. EGC Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2022	—	`conf`	Apprentissage Joint de la Représentation et du Clustering avec un Réseau Convolutif sur Graphe. EGC Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2022	A	`conf`	Efficient Graph Convolution for Joint Node Representation Learning and Clustering. WSDM Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2022	A*	`conf`	Efficient and Effective Optimal Transport-Based Biclustering. NeurIPS Chakib Fettal, Lazhar Labiod, Mohamed Nadif
2022	A	`conf`	Subspace Co-clustering with Two-Way Graph Convolution. CIKM Chakib Fettal, Lazhar Labiod, Mohamed Nadif

2023 — conf

Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.

AISec

Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz

2026 — preprint

CCX: Enabling Unmodified Intel SGX Applications on Arm CCA.

arXiv

Matti Schulze, Thorsten Holz, Felix C. Freiling