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 explore two main axes related to AI and graph-based methods. On one hand, I examine how graphs can be used to improve the efficiency and scalability of AI techniques. On the other hand, I adopt an interdisciplinary perspective, treating AI as a subject of study and offering reflections on the ethical and environmental dimensions of the field.
My research interests include:
- Complex networks
- Graph learning algorithms
- Digital science and technology studies
- Computational social sciences
Research
PUBLICATIONS
Graph Neural Networks: The Surprising Superiority of Logistic Regression
Simon Delarue, Thomas Bonald, Tiphaine Viard
[Under review]
Link Prediction Without Learning
Simon Delarue, Thomas Bonald, Tiphaine Viard
European Conference on Artificial Intelligence, 2024
[code] [paper]
Evaluating Graph-Based Explanations for AI-Based Recommender Systems
Simon Delarue, Astrid Bertrand, Tiphaine Viard
Preprint
[paper]
Mapping AI Ethics: a Meso-Scale Analysis of Charters and Manifestos
Mélanie Gornet, Simon Delarue, Maria Boritchev, Tiphaine Viard
ACM Conference on Fairness, Accountability and Transparency, 2024
[material] [paper]
Interpretive Flexibility in Data Science and Artificial Intelligence
Tiphaine Viard, Mélanie Gornet, Simon Delarue
Undone Computer Science Conference, 2024
[paper]
Sparse Graph Neural Networks with Scikit-network
Simon Delarue, Thomas Bonald
International Conference on Complex Networks and their Applications, 2023
[code] [paper]
Unexpected Attributed Subgraphs: a Mining Algorithm
Simon Delarue, Tiphaine Viard, Jean-Louis Dessalles
IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2023
[code] [paper]
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]