Raphaël Romero

According to our database, Raphaël Romero authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs.

Mathilde Perez, Raphaël Romero, Jefrey Lijffijt, Charlotte Laclau

CoRR, March, 2026

2025

SimHawNet: a modified Hawkes process for temporal network simulation.

Mathilde Perez, Raphaël Romero, Bo Kang, Tijl De Bie, Jefrey Lijffijt, Charlotte Laclau

Data Min. Knowl. Discov., September, 2025

Multiresolution Analysis and Statistical Thresholding on Dynamic Networks.

Raphaël Romero, Tijl De Bie, Nick Heard, Alexander Modell

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Next-Event Prediction in Soccer: Assessing the Impact of Team and Player Information.

Raphaël Romero, Yoosof Mashayekhi, Fuyin Lai, Maaike Van Roy, Tijl De Bie, Jesse Davis

Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2025

JobHop: A Large-Scale Dataset of Career Trajectories.

Iman Johary, Raphaël Romero, Alexandru Cristian Mara, Tijl De Bie

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Large Language Models Reflect the Ideology of their Creators.

Maarten Buyl, Alexander Rogiers, Sander Noels, Iris Dominguez-Catena, Edith Heiter, Raphaël Romero, Iman Johary, Alexandru Cristian Mara, Jefrey Lijffijt, Tijl De Bie

CoRR, 2024

Exploring the Performance of Continuous-Time Dynamic Link Prediction Algorithms.

Raphaël Romero, Maarten Buyl, Tijl De Bie, Jefrey Lijffijt

CoRR, 2024

2023

New Perspectives on the Evaluation of Link Prediction Algorithms for Dynamic Graphs.

Raphaël Romero, Tijl De Bie, Jefrey Lijffijt

CoRR, 2023

Gaussian Embedding of Temporal Networks.

Raphaël Romero, Jefrey Lijffijt, Riccardo Rastelli, Marco Corneli, Tijl De Bie

IEEE Access, 2023

2022

Graph-Survival: A Survival Analysis Framework for Machine Learning on Temporal Networks.

Raphaël Romero, Bo Kang, Tijl De Bie

CoRR, 2022

Embedding-based next song recommendation for playlists.

Raphaël Romero, Tijl De Bie

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022