Embedding-based next song recommendation for playlists. - Raphaël Romero; Tijl De Bie (ESANN, 2022)

Graph-Survival: A Survival Analysis Framework for Machine Learning on Temporal Networks. - Raphaël Romero; Bo Kang; Tijl De Bie (CoRR, 2022)

Gaussian Embedding of Temporal Networks. - Raphaël Romero; Jefrey Lijffijt; Riccardo Rastelli; Marco Corneli; Tijl De Bie (IEEE Access, 2023)

New Perspectives on the Evaluation of Link Prediction Algorithms for Dynamic Graphs. - Raphaël Romero; Tijl De Bie; Jefrey Lijffijt (CoRR, 2023)

Exploring the Performance of Continuous-Time Dynamic Link Prediction Algorithms. - Raphaël Romero; Maarten Buyl; Tijl De Bie; Jefrey Lijffijt (CoRR, 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)

JobHop: A Large-Scale Dataset of Career Trajectories. - Iman Johary; Raphaël Romero; Alexandru Mara; Tijl De Bie (CoRR, 2025)

Multiresolution Analysis and Statistical Thresholding on Dynamic Networks. - Raphaël Romero; Tijl De Bie; Nick Heard; Alexander Modell (CoRR, 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., 2025)