About

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
You can find more information about my teaching activities. In 2024, I am participating in one of the F93 association projects, which aims to promote an openness to science and technology, among others, to middle school students. Specifically, this project addresses algorithms and their biases

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]

AWARDS

  • Best Poster Award Unexpected attributed subgraphs: a mining algorithm
    [poster]
  • Best Poster Award Sparse Graph Neural Networks
    [poster]