Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling - Walid Bendada; Guillaume Salha-Galvan; Romain Hennequin; Théo Bontempelli; Thomas Bouabça; Tristan Cazenave (Forty-second International Conference on Machine Learning, ICML 2025, Vancouver, BC, Canada, July 13-19, 2025, 2025)

EARL: The 2nd Workshop on Evaluating and Applying Recommender Systems with Large Language Models - Irene Li; Ruihai Dong; Guillaume Salha-Galvan; Aonghus Lawlor; Dairui Liu; Lei Li (Proceedings of the Nineteenth ACM Conference on Recommender Systems, RecSys 2025, Prague, Czech Republic, September 22-26, 2025, 2025)

To Share or Not to Share: Investigating Weight Sharing in Variational Graph Autoencoders - Guillaume Salha-Galvan; Jiaying Xu (Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025, 2025)

To Share or Not to Share: Investigating Weight Sharing in Variational Graph Autoencoders - Guillaume Salha-Galvan; Jiaying Xu (CoRR, 2025)

Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling - Walid Bendada; Guillaume Salha-Galvan; Romain Hennequin; Théo Bontempelli; Thomas Bouabça; Tristan Cazenave (CoRR, 2025)

FairExpand: Individual Fairness on Graphs with Partial Similarity Information - Rebecca Salganik; Yibin Wang; Guillaume Salha-Galvan; Jian Kang (CoRR, 2025)

Let's Get It Started: Fostering the Discoverability of New Releases on Deezer - Léa Briand; Théo Bontempelli; Walid Bendada; Mathieu Morlon; François Rigaud; Benjamin Chapus; Thomas Bouabça; Guillaume Salha-Galvan (Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part V, 2024)

Let's Get It Started (Again!): Fostering the Discoverability of New Releases on Deezer - Léa Briand; Théo Bontempelli; Walid Bendada; Mathieu Morlon; François Rigaud; Benjamin Chapus; Thomas Bouabça; Guillaume Salha-Galvan (Proceedings of the 2nd Music Recommender Systems Workshop 2024 co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), Bari, Italy, October 14, 2024, 2024)

Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data - Kristina Matrosova; Lilian Marey; Guillaume Salha-Galvan; Thomas Louail; Olivier Bodini; Manuel Moussallam (Proceedings of the 18th ACM Conference on Recommender Systems, RecSys 2024, Bari, Italy, October 14-18, 2024, 2024)

Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session Recommendation - Viet-Anh Tran; Guillaume Salha-Galvan; Bruno Sguerra; Romain Hennequin (Proceedings of the 18th ACM Conference on Recommender Systems, RecSys 2024, Bari, Italy, October 14-18, 2024, 2024)

Let's Get It Started: Fostering the Discoverability of New Releases on Deezer - Léa Briand; Théo Bontempelli; Walid Bendada; Mathieu Morlon; François Rigaud; Benjamin Chapus; Thomas Bouabça; Guillaume Salha-Galvan (CoRR, 2024)

Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data - Kristina Matrosova; Lilian Marey; Guillaume Salha-Galvan; Thomas Louail; Olivier Bodini; Manuel Moussallam (CoRR, 2024)

Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session Recommendation - Viet-Anh Tran; Guillaume Salha-Galvan; Bruno Sguerra; Romain Hennequin (CoRR, 2024)

Track Mix Generation on Music Streaming Services using Transformers - Walid Bendada; Théo Bontempelli; Mathieu Morlon; Benjamin Chapus; Thibault Cador; Thomas Bouabça; Guillaume Salha-Galvan (Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023, 2023)

On the Consistency of Average Embeddings for Item Recommendation - Walid Bendada; Guillaume Salha-Galvan; Romain Hennequin; Thomas Bouabça; Tristan Cazenave (Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023, 2023)

A Scalable Framework for Automatic Playlist Continuation on Music Streaming Services - Walid Bendada; Guillaume Salha-Galvan; Thomas Bouabça; Tristan Cazenave (Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023, 2023)

Attention Mixtures for Time-Aware Sequential Recommendation - Viet-Anh Tran; Guillaume Salha-Galvan; Bruno Sguerra; Romain Hennequin (Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023, 2023)

Attention Mixtures for Time-Aware Sequential Recommendation - Viet-Anh Tran; Guillaume Salha-Galvan; Bruno Sguerra; Romain Hennequin (CoRR, 2023)

A Scalable Framework for Automatic Playlist Continuation on Music Streaming Services - Walid Bendada; Guillaume Salha-Galvan; Thomas Bouabça; Tristan Cazenave (CoRR, 2023)

Track Mix Generation on Music Streaming Services using Transformers - Walid Bendada; Théo Bontempelli; Mathieu Morlon; Benjamin Chapus; Thibault Cador; Thomas Bouabça; Guillaume Salha-Galvan (CoRR, 2023)

On the Consistency of Average Embeddings for Item Recommendation - Walid Bendada; Guillaume Salha-Galvan; Romain Hennequin; Thomas Bouabça; Tristan Cazenave (CoRR, 2023)

Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation. (Contributions à l'apprentissage de représentations à partir d'autoencodeurs de graphes et applications à la recommandation musicale) - Guillaume Salha (Polytechnic Institute of Paris, Palaiseau, France, 2022)

Modularity-aware graph autoencoders for joint community detection and link prediction - Guillaume Salha-Galvan; Johannes F. Lutzeyer; George Dasoulas; Romain Hennequin; Michalis Vazirgiannis (Neural Networks, 2022)

Flow Moods: Recommending Music by Moods on Deezer - Théo Bontempelli; Benjamin Chapus; François Rigaud; Mathieu Morlon; Marin Lorant; Guillaume Salha-Galvan (RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18 - 23, 2022, 2022)

Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction - Guillaume Salha-Galvan; Johannes F. Lutzeyer; George Dasoulas; Romain Hennequin; Michalis Vazirgiannis (CoRR, 2022)

Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation - Guillaume Salha-Galvan (CoRR, 2022)

Flow Moods: Recommending Music by Moods on Deezer - Théo Bontempelli; Benjamin Chapus; François Rigaud; Mathieu Morlon; Marin Lorant; Guillaume Salha-Galvan (CoRR, 2022)

New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction - Guillaume Salha-Galvan; Johannes F. Lutzeyer; George Dasoulas; Romain Hennequin; Michalis Vazirgiannis (CoRR, 2022)

FastGAE: Scalable graph autoencoders with stochastic subgraph decoding - Guillaume Salha; Romain Hennequin; Jean-Baptiste Remy; Manuel Moussallam; Michalis Vazirgiannis (Neural Networks, 2021)

A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps - Léa Briand; Guillaume Salha-Galvan; Walid Bendada; Mathieu Morlon; Viet-Anh Tran (KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021, 2021)

Hierarchical Latent Relation Modeling for Collaborative Metric Learning - Viet-Anh Tran; Guillaume Salha-Galvan; Romain Hennequin; Manuel Moussallam (RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021 - 1 October 2021, 2021)

Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders - Guillaume Salha-Galvan; Romain Hennequin; Benjamin Chapus; Viet-Anh Tran; Michalis Vazirgiannis (RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021 - 1 October 2021, 2021)

Modéliser la perception des genres musicaux à travers différentes cultures à partir de ressources linguistiques (Modeling the Music Genre Perception across Language-Bound Cultures ) - Elena V. Epure; Guillaume Salha-Galvan; Manuel Moussallam; Romain Hennequin (Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale, TALN 2021, Lille, France, June 28 - July 2, 2021, 2021)

A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps - Léa Briand; Guillaume Salha-Galvan; Walid Bendada; Mathieu Morlon; Viet-Anh Tran (CoRR, 2021)

Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders - Guillaume Salha-Galvan; Romain Hennequin; Benjamin Chapus; Viet-Anh Tran; Michalis Vazirgiannis (CoRR, 2021)

Hierarchical Latent Relation Modeling for Collaborative Metric Learning - Viet-Anh Tran; Guillaume Salha-Galvan; Romain Hennequin; Manuel Moussallam (CoRR, 2021)

Modeling the Music Genre Perception across Language-Bound Cultures - Elena V. Epure; Guillaume Salha; Manuel Moussallam; Romain Hennequin (Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020, 2020)

Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation - Elena V. Epure; Guillaume Salha; Romain Hennequin (Proceedings of the 21th International Society for Music Information Retrieval Conference, ISMIR 2020, Montreal, Canada, October 11-16, 2020, 2020)

Simple and Effective Graph Autoencoders with One-Hop Linear Models - Guillaume Salha; Romain Hennequin; Michalis Vazirgiannis (Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part I, 2020)

Carousel Personalization in Music Streaming Apps with Contextual Bandits - Walid Bendada; Guillaume Salha; Théo Bontempelli (RecSys 2020: Fourteenth ACM Conference on Recommender Systems, Virtual Event, Brazil, September 22-26, 2020, 2020)

Muzeeglot : annotation multilingue et multi-sources d'entités musicales à partir de représentations de genres musicaux (Muzeeglot : cross-lingual multi-source music item annotation from music genre embeddings) - Elena V. Epure; Guillaume Salha; Félix Voituret; Marion Baranes; Romain Hennequin (Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 4 : Démonstrations et résumés d'articles internationaux, Nancy, France, June 8-19, 2020, 2020)

Simple and Effective Graph Autoencoders with One-Hop Linear Models - Guillaume Salha; Romain Hennequin; Michalis Vazirgiannis (CoRR, 2020)

FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding - Guillaume Salha; Romain Hennequin; Jean-Baptiste Remy; Manuel Moussallam; Michalis Vazirgiannis (CoRR, 2020)

Carousel Personalization in Music Streaming Apps with Contextual Bandits - Walid Bendada; Guillaume Salha; Théo Bontempelli (CoRR, 2020)

Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation - Elena V. Epure; Guillaume Salha; Romain Hennequin (CoRR, 2020)

Modeling the Music Genre Perception across Language-Bound Cultures - Elena V. Epure; Guillaume Salha; Manuel Moussallam; Romain Hennequin (CoRR, 2020)

Gravity-Inspired Graph Autoencoders for Directed Link Prediction - Guillaume Salha; Stratis Limnios; Romain Hennequin; Viet-Anh Tran; Michalis Vazirgiannis (Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019, 2019)

A Degeneracy Framework for Scalable Graph Autoencoders - Guillaume Salha; Romain Hennequin; Viet-Anh Tran; Michalis Vazirgiannis (Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019, 2019)

A Degeneracy Framework for Scalable Graph Autoencoders - Guillaume Salha; Romain Hennequin; Viet-Anh Tran; Michalis Vazirgiannis (CoRR, 2019)

Gravity-Inspired Graph Autoencoders for Directed Link Prediction - Guillaume Salha; Stratis Limnios; Romain Hennequin; Viet-Anh Tran; Michalis Vazirgiannis (CoRR, 2019)

Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks - Guillaume Salha; Romain Hennequin; Michalis Vazirgiannis (CoRR, 2019)

Adaptive Submodular Influence Maximization with Myopic Feedback - Guillaume Salha; Nikolaos Tziortziotis; Michalis Vazirgiannis (IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018, Barcelona, Spain, August 28-31, 2018, 2018)

Adaptive Submodular Influence Maximization with Myopic Feedback - Guillaume Salha; Nikolaos Tziortziotis; Michalis Vazirgiannis (CoRR, 2017)