30 citations
- University of OklahomaUS3 papers
- Centre d'Excellence en Technologies de l'Information et de la CommunicationBE2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Qatar UniversityQA2 papers
- Sorbonne UniversitéFR2 papers
- Unité de Modélisation Mathématique et Informatique des Systèmes ComplexesFR2 papers
- Beihang UniversityCN1 paper
- Centre d'études et de recherche en informatique et communicationsFR1 paper
- Département mathématiques, informatique, sciences de la donnée et technologies du numériqueFR1 paper
- École Nationale Supérieure d'InformatiqueDZ1 paper
- Ericsson (United States)US1 paper
- Institut d'Etudes Politiques de ParisFR1 paper
13 papers
Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation
Yimeng Bai, Chang Liu, Yang Zhang +5
Generative recommendation is emerging as a transformative paradigm by directly generating recommended items, rather than relying on matching. Building such a system typically invol…
LSCPM: communities in massive real-world Link Streams by Clique Percolation Method
Alexis Baudin, Lionel Tabourier, Clémence Magnien
Community detection is a popular approach to understand the organization of interactions in static networks. For that purpose, the Clique Percolation Method (CPM), which involves t…
A Fast Algorithm for Ranking Users by their Influence in Online Social Platforms
Nouamane Arhachoui, Esteban Bautista, Maximilien Danisch +1
Measuring the influence of users in social networks is key for numerous applications. A recently proposed influence metric, coined as -score, allows to go beyond traditional cen…
Interpretable AI-based Large-scale 3D Pathloss Prediction Model for enabling Emerging Self-Driving Networks
Usama Masood, Hasan Farooq, Ali Imran +1
In modern wireless communication systems, radio propagation modeling to estimate pathloss has always been a fundamental task in system design and optimization. The state-of-the-art…
A logical approach for temporal and multiplex networks analysis
Esteban Bautista, Matthieu Latapy
Many systems generate data as a set of triplets (a, b, c): they may represent that user a called b at time c or that customer a purchased product b in store c. These datasets are t…
Testing the Impact of Semantics and Structure on Recommendation Accuracy and Diversity
Pedro Ramaciotti Morales, Lionel Tabourier, Raphaël Fournier-S'niehotta
The Heterogeneous Information Network (HIN) formalism is very flexible and enables complex recommendations models. We evaluate the effect of different parts of a HIN on the accurac…