I am a PhD Candidate in Artificial Intelligence at Institut Polytechnique de Paris (Télécom Paris), under the supervision of Thomas Bonald (LTCI – Information Processing and Communications Laboratory, Télécom Paris) and Tiphaine Viard, (i3 – Interdisciplinary Institute of Innovation, Télécom Paris).
In my research, I study enriched graph methods and algorithms to leverage information from real-world data, in order to add transparency in current machine learning approaches.
My research interests include:
- Real-world graphs
- Graph algorithms
- Fairness and ethics in AI
- Graph Neural Networks
Research
PUBLICATIONS
Sparse Graph Neural Networks with Scikit-network, 2023
S. Delarue, T. Bonald
[Under review]
Unexpected Attributed Subgraphs: a Mining Algorithm, 2023
S. Delarue, T. Viard, J.L. Dessalles
[Under review]
TALKS
HI!PARIS READING GROUP ON GRAPH NEURAL NETWORKS, 2022
Representation Learning on large graphs (with Thomas Bonald)
Ressource material
INSTITUT POLYTECHNIQUE DE PARIS DOCTORAL SCHOOL DAY, 2022
“Unexpected attributed subgraphs: a mining algorithm” (Best poster award in the field of Computing, Data and Artificial Intelligence)
Poster
HI!PARIS SUMMER SCHOOL, 2022
“Sparse Graph Neural Networks” (Best poster award)
Poster