activity
20202023
most citedAll of the Fairness for Edge Prediction with Optimal Transport

13 citations · 37 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023★ 8 cited

Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement

Lucas Potin, Rosa Figueiredo, Vincent Labatut +1

In the context of public procurement, several indicators called red flags are used to estimate fraud risk. They are computed according to certain contract attributes and are theref…

cs.CY2023★ 12 cited

FOPPA: An Open Database of French Public Procurement Award Notices From 2010--2020

Lucas Potin, Vincent Labatut, Pierre-Henri Morand +1

Public Procurement refers to governments' purchasing activities of goods, services, and construction of public works. In the European Union (EU), it is an essential sector, corresp…

cs.LG2022★ 3 cited

A Survey on Fairness for Machine Learning on Graphs

Charlotte Laclau, Christine Largeron, Manvi Choudhary

Nowadays, the analysis of complex phenomena modeled by graphs plays a crucial role in many real-world application domains where decisions can have a strong societal impact. However…

cs.SI2021★ 1 cited

Linking the Dynamics of User Stance to the Structure of Online Discussions

Christine Largeron, Andrei Mardale, Marian-Andrei Rizoiu

This paper studies the dynamics of opinion formation and polarization in social media. We investigate whether users' stance concerning contentious subjects is influenced by the onl…

cs.LG2020★ 13 cited

All of the Fairness for Edge Prediction with Optimal Transport

Charlotte Laclau, Ievgen Redko, Manvi Choudhary +1

Machine learning and data mining algorithms have been increasingly used recently to support decision-making systems in many areas of high societal importance such as healthcare, ed…