@misc{marey2026topofair,title={TopoFair: Linking Topological Bias to Fairness in Link Prediction Benchmarks},author={Marey, Lilian and Perez, Mathilde and Viard, Tiphaine and Laclau, Charlotte},year={2026},archiveprefix={arXiv},primaryclass={cs.LG},url={https://arxiv.org/abs/2602.11802},note={Preprint},}
arXiv
How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs
Mathilde Perez, Raphaël Romero, Jefrey Lijffijt, and 1 more author
@misc{perez2026predicted,title={How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs},author={Perez, Mathilde and Romero, Rapha{\"e}l and Lijffijt, Jefrey and Laclau, Charlotte},year={2026},archiveprefix={arXiv},primaryclass={cs.LG},url={https://arxiv.org/abs/2603.03945},note={Accepted at UAI 2026},}
2025
DAMI
SimHawNet: a modified Hawkes process for temporal network simulation
Mathilde Perez, Raphaël Romero, Bo Kang, and 3 more authors
@article{perez2025simhawnet,title={SimHawNet: a modified Hawkes process for temporal network simulation},author={Perez, Mathilde and Romero, Rapha{\"e}l and Kang, Bo and De Bie, Tijl and Lijffijt, Jefrey and Laclau, Charlotte},journal={Data Mining and Knowledge Discovery},volume={39},number={5},year={2025},doi={10.1007/s10618-025-01119-1},url={https://doi.org/10.1007/s10618-025-01119-1},}