13 citations · 16 across the 8 of their papers we have counts for
9 papers
Non-Negative Matrix Factorization for Event Data
Raphaël Romero
Continuous-time event data, in which entities emit instantaneous events over time, arises naturally across many domains such as neuroscience, seismology, and social networks. Non-n…
How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs
Mathilde Perez, Raphaël Romero, Jefrey Lijffijt +1
Link prediction models are increasingly used to recommend interactions in evolving networks, yet their impact on network structure is typically assessed from static snapshots. In p…
Multiresolution Analysis and Statistical Thresholding on Dynamic Networks
Raphaël Romero, Tijl De Bie, Nick Heard +1
Detecting structural change in dynamic network data has wide-ranging applications. Existing approaches typically divide the data into time bins, extract network features within eac…
JobHop: A Large-Scale Dataset of Career Trajectories
Iman Johary, Raphael Romero, Alexandru C. Mara +1
Understanding labor market dynamics is essential for policymakers, employers, and job seekers. However, comprehensive datasets that capture real-world career trajectories are scarc…
Large Language Models Reflect the Ideology of their Creators
Maarten Buyl, Alexander Rogiers, Sander Noels +8
Large language models (LLMs) are trained on vast amounts of data to generate natural language, enabling them to perform tasks like text summarization and question answering. These…
Gaussian Embedding of Temporal Networks
Raphaël Romero, Jefrey Lijffijt, Riccardo Rastelli +2
Representing the nodes of continuous-time temporal graphs in a low-dimensional latent space has wide-ranging applications, from prediction to visualization. Yet, analyzing continuo…
Exploring the Performance of Continuous-Time Dynamic Link Prediction Algorithms
Raphaël Romero, Maarten Buyl, Tijl De Bie +1
Dynamic Link Prediction (DLP) addresses the prediction of future links in evolving networks. However, accurately portraying the performance of DLP algorithms poses challenges that…
New Perspectives on the Evaluation of Link Prediction Algorithms for Dynamic Graphs
Raphaël Romero, Tijl De Bie, Jefrey Lijffijt
There is a fast-growing body of research on predicting future links in dynamic networks, with many new algorithms. Some benchmark data exists, and performance evaluations commonly…
SimHawNet: A Modified Hawkes Process for Temporal Network Simulation
Mathilde Perez, Raphaël Romero, Bo Kang +3
Temporal networks allow representing connections between objects while incorporating the temporal dimension. While static network models can capture unchanging topological regulari…