publications

2024

  1. TMLR
    Graph Cuts with Arbitrary Size Constraints Through Optimal Transport
    Chakib Fettal,  labiod, and Mohamed Nadif
    Transactions on Machine Learning Research, 2024
  2. EACL
    More Discriminative Sentence Embeddings via Semantic Graph Smoothing
    Chakib Fettal, Lazhar Labiod, and Mohamed Nadif
    In 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
  3. TKDE
    Boosting Subspace Co-clustering via Bilateral Graph Convolution
    Chakib Fettal, Lazhar Labiod, and Mohamed Nadif
    IEEE Transactions on Knowledge and Data Engineering, 2024

2023

  1. WSDMOral
    Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering
    Chakib Fettal, Lazhar Labiod, and Mohamed Nadif
    In Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
  2. AAAIOral
    Scalable Attributed-Graph Subspace Clustering
    Chakib Fettal, Lazhar Labiod, and Mohamed Nadif
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2023

2022

  1. NeurIPS
    Efficient and Effective Optimal Transport-Based Biclustering
    Chakib Fettal, Lazhar Labiod, and Mohamed Nadif
    In Advances in neural information processing systems, 2022
  2. CIKM
    Subspace Co-clustering with Two-Way Graph Convolution
    Chakib Fettal, Lazhar Labiod, and Mohamed Nadif
    In Proceedings of the 31st ACM International Conference on Information and Knowledge Management, 2022
  3. WSDM
    Efficient Graph Convolution for Joint Node Representation Learning and Clustering
    Chakib Fettal, Lazhar Labiod, and Mohamed Nadif
    In Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, 2022