1 citations · 1 across the 7 of their papers we have counts for
7 papers
Edge-Girth as a Structural Edge Feature for Graph Neural Networks
Lilian Marey, Charlotte Laclau
Graph neural networks (GNN) based on message passing are provably no more powerful than the one-dimensional Weisfeiler--Leman colour-refinement test (1-WL): two graphs it cannot te…
On the Realizability of Edge-Girth Sequences
Lilian Marey, Paul Hilaire, Charlotte Laclau
The edge-girth of an edge in a simple connected graph is the length of a shortest cycle containing , with if no such cycle exists, and the edge-girth sequence…
k-hop Fairness: Addressing Disparities in Graph Link Prediction Beyond First-Order Neighborhoods
Lilian Marey, Tiphaine Viard, Charlotte Laclau
Link prediction (LP) plays a central role in graph-based applications, particularly in social recommendation. However, real-world graphs often reflect structural biases, most notab…
Structural Bias Beyond Homophily: A Study of Fairness in Link Prediction
Lilian Marey, Mathilde Perez, Tiphaine Viard +1
Graph link prediction (LP) plays a critical role in socially impactful applications such as job recommendation and friendship formation, making fairness a critical concern in this…
Modeling Musical Genre Trajectories through Pathlet Learning
Lilian Marey, Charlotte Laclau, Bruno Sguerra +2
The increasing availability of user data on music streaming platforms opens up new possibilities for analyzing music consumption. However, understanding the evolution of user prefe…
Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data
Kristina Matrosova, Lilian Marey, Guillaume Salha-Galvan +3
This paper examines the influence of recommender systems on local music representation, discussing prior findings from an empirical study on the LFM-2b public dataset. This prior s…
Modeling Activity-Driven Music Listening with PACE
Lilian Marey, Bruno Sguerra, Manuel Moussallam
While the topic of listening context is widely studied in the literature of music recommender systems, the integration of regular user behavior is often omitted. In this paper, we…