Raphaël Romero

12 papers B 2Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs.
CoRR
Mathilde Perez, Raphaël Romero, Jefrey Lijffijt, Charlotte Laclau
2025 B conf
JobHop: A Large-Scale Dataset of Career Trajectories.
IEEE Big Data
Iman Johary, Raphaël Romero, Alexandru Cristian Mara, Tijl De Bie
2025 J jnl
JobHop: A Large-Scale Dataset of Career Trajectories.
CoRR
Iman Johary, Raphaël Romero, Alexandru Mara, Tijl De Bie
2025 J jnl
Multiresolution Analysis and Statistical Thresholding on Dynamic Networks.
CoRR
Raphaël Romero, Tijl De Bie, Nick Heard, Alexander Modell
2025 J jnl
SimHawNet: a modified Hawkes process for temporal network simulation.
Data Min. Knowl. Discov.
Mathilde Perez, Raphaël Romero, Bo Kang, Tijl De Bie, Jefrey Lijffijt, Charlotte Laclau
2024 J jnl
Exploring the Performance of Continuous-Time Dynamic Link Prediction Algorithms.
CoRR
Raphaël Romero, Maarten Buyl, Tijl De Bie, Jefrey Lijffijt
2024 J jnl
Gaussian Embedding of Temporal Networks.
CoRR
Raphaël Romero, Jefrey Lijffijt, Riccardo Rastelli, Marco Corneli, Tijl De Bie
2024 J jnl
Large Language Models Reflect the Ideology of their Creators.
CoRR
Maarten Buyl, Alexander Rogiers, Sander Noels, Iris Dominguez-Catena, Edith Heiter, Raphaël Romero, Iman Johary, Alexandru Cristian Mara, Jefrey Lijffijt, Tijl De Bie
2023 J jnl
Gaussian Embedding of Temporal Networks.
IEEE Access
Raphaël Romero, Jefrey Lijffijt, Riccardo Rastelli, Marco Corneli, Tijl De Bie
2023 J jnl
New Perspectives on the Evaluation of Link Prediction Algorithms for Dynamic Graphs.
CoRR
Raphaël Romero, Tijl De Bie, Jefrey Lijffijt
2022 B conf
Embedding-based next song recommendation for playlists.
ESANN
Raphaël Romero, Tijl De Bie
2022 J jnl
Graph-Survival: A Survival Analysis Framework for Machine Learning on Temporal Networks.
CoRR
Raphaël Romero, Bo Kang, Tijl De Bie