Organization committees
- International workshop « GraphAI for Future Intelligent Systems (GAI4FIS) » in conjunction with IEEE International Conference on Data Engineering (ICDE) 2026 (co-chair).
- International workshop on Scalable and Deep Graph Learning and Mining (SGLM). In conjunction with International Joint Conference on Neural Networks conference (IJCNN) 2025 (co-chair)
- International Workshop on Computational Biology (WCB) @ ICML 2021
- Advances in managing and mining Large Evolving Graphs (LEG) workshop @ ECML-PKDD 2019 (co-chair)
- Extraction et Gestion des Connaissances (EGC) 2019
- Advances in mining Large-Scale Time Dependent Graphs (TD-LSG) workshop @ VLDB 2018 (co-chair)
- Advances in mining Large-Scale Time Dependent Graphs (TD-LSG) workshop @ ECML PKDD 2017 (co-chair)
Editorial boards
Program committees
- International Conference on Knowledge Discovery and Information Retrieval (KDIR) 2019
- Joint ICML and IJCAI 2018 Workshop on Computational Biology 2018
- Workshop on Advances in Mining Large-Scale Time Dependent Graphs (TD-LSG) @ VLDB 2018
- International Conference on Knowledge Discovery and Information Retrieval (KDIR) 2018
- Bioinformatics and Artificial Intelligence (BAI) workshop @ IJCAI 2017
- International Conference on Knowledge Discovery and Information Retrieval (KDIR) 2017
- Large-Scale Time Dependent Graphs (TD-LSG) workshop @ ECML PKDD 2017
- Workshop on IoT Systems Provisioning & Management for Context-Aware SmartCities (ISYCC 2017)
- Colloque sur l’Optimisation et les Systèmes d’Information (COSI) 2016
- Colloque sur l’Optimisation et les Systèmes d’Information (COSI) 2015
- International Conference on Computer Science and its Applications (CIIA) 2015
Reviewing committees
- Journals
PhD examinations
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- Awa Samaké, Université du Québec à Montréal (UQAM), « Méthodes d’apprentissage machine pour l’estimation de l’effet de la génétique sur la production laitière », January 2026. [Reviewer]
- Asela Hevapathige, Australian National University (ANU), « Advancing Graph Neural Networks: Expressivity Enhancement, Information Flow Optimization, and Dynamic Process Modelling », February 2025. [Reviewer]
- Khouloud Ammar, Université de Tunis El Manar, « Towards a Representation Learning Approach for Large- Scale Heterogeneous Graphs« , Décembre 2025. [Reviewer]
- Catalina Gonzalez Gomez, Université de Lyon 1, « Développement d’outils in silico pour le repositionnement pharmaceutique de molécules basées sur des données d’expression omiques et la notion de connectivité », Septembre 2025. [Reviewer]
- Marcelo Veras, Federal University of Ceará, Brazil, « ON THE DESIGN OF SIMILARITY FUNCTIONS FOR BINARY DATA », June, 2022. [Examiner]
- Zekarias Tilahun Kefato, Universiy of Trento, « Network and Cascade Representation Learning Algorithms based on Information Diffusion Events « , 2019. [Reviewer]
- Nasrullah Sheikh, Universiy of Trento, « Network Representation Learning with Attributes and Heterogeneity », 2019. [Reviewer]
Project reviews
- Expert for ANR 2024
- Expert for ANR 2023
- Expert for ANR 2018
- Comité Français d’Évaluation de la Coopération Scientifique et Universitaire avec le Brésil (COFECUB) 2017
Responsabilitites
- Member of the CDT (Commission de Développement Technologique), Inria NGE (2016-2022)
