Adaptive Submodular Influence Maximization with Myopic Feedback. - Guillaume Salha; Nikolaos Tziortziotis; Michalis Vazirgiannis (ASONAM, 2018)

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

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

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

Modeling the Music Genre Perception across Language-Bound Cultures. - Elena V. Epure; Guillaume Salha; Manuel Moussallam; Romain Hennequin (EMNLP (1), 2020)

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

Simple and Effective Graph Autoencoders with One-Hop Linear Models. - Guillaume Salha; Romain Hennequin; Michalis Vazirgiannis (ECML/PKDD (1), 2020)

Carousel Personalization in Music Streaming Apps with Contextual Bandits. - Walid Bendada; Guillaume Salha; Théo Bontempelli (RecSys, 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 (JEP-TALN-RECITAL (Demos), 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)

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, 2021)

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

Hierarchical Latent Relation Modeling for Collaborative Metric Learning. - Viet-Anh Tran; Guillaume Salha-Galvan; Romain Hennequin; Manuel Moussallam (RecSys, 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 (TALN (1), 2021)

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

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

Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation. - 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)

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)

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 (2022)

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

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

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

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

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 (ECIR (5), 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 (MuRS@RecSys, 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 (RecSys, 2024)

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

To Share or Not to Share: Investigating Weight Sharing in Variational Graph Autoencoders. - Guillaume Salha-Galvan; Jiaying Xu (WWW (Companion Volume), 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)