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 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
  • Graph Neural Networks
  • Network analysis in the social sciences
  • Fairness and ethics in AI

Research

PUBLICATIONS

Evaluating Graph-Based Explanations for AI-Based Recommender Systems
Simon Delarue, Astrid Bertrand, Tiphaine Viard
[Under review]

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

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]