| Gravity-Inspired Graph Autoencoders for Directed Link Prediction G Salha-Galvan, S Limnios, R Hennequin, VA Tran, M Vazirgiannis 28th ACM International Conference on Information and Knowledge Management, 2019 | 115 | 2019 |
| Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks G Salha, R Hennequin, M Vazirgiannis NeurIPS 2019 Workshop on Graph Representation Learning, 2019 | 76 | 2019 |
| Simple and Effective Graph Autoencoders with One-Hop Linear Models G Salha-Galvan, R Hennequin, M Vazirgiannis Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 69 | 2021 |
| Carousel Personalization in Music Streaming Apps with Contextual Bandits W Bendada, G Salha-Galvan, T Bontempelli 14th ACM Conference on Recommender Systems, 2020 | 63 | 2020 |
| Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction G Salha-Galvan, JF Lutzeyer, G Dasoulas, R Hennequin, M Vazirgiannis Neural Networks 153 (2022), 474-495, 2022 | 55 | 2022 |
| A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps L Briand, G Salha-Galvan, W Bendada, M Morlon, VA Tran 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021 | 47 | 2021 |
| A Degeneracy Framework for Scalable Graph Autoencoders G Salha, R Hennequin, VA Tran, M Vazirgiannis 28th International Joint Conference on Artificial Intelligence, 2019 | 44 | 2019 |
| FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding G Salha-Galvan, R Hennequin, JB Remy, M Moussallam, M Vazirgiannis Neural Networks 142 (2021), 1-19, 2021 | 35* | 2021 |
| Flow Moods: Recommending Music by Moods on Deezer T Bontempelli, B Chapus, F Rigaud, M Morlon, M Lorant, G Salha-Galvan 16th ACM Conference on Recommender Systems, 2022 | 28 | 2022 |
| Adaptive Submodular Influence Maximization with Myopic Feedback G Salha, N Tziortziotis, M Vazirgiannis 2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018 | 26 | 2018 |
| Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders G Salha-Galvan, R Hennequin, B Chapus, VA Tran, M Vazirgiannis 15th ACM Conference on Recommender Systems, 2021 | 23 | 2021 |
| Attention Mixtures for Time-Aware Sequential Recommendation VA Tran, G Salha-Galvan, B Sguerra, R Hennequin 46th International ACM SIGIR Conference on Research and Development in …, 2023 | 20 | 2023 |
| Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation EV Epure, G Salha-Galvan, R Hennequin 21st International Society for Music Information Retrieval Conference, 2020 | 11 | 2020 |
| Simple and Effective Graph Autoencoders with One-Hop Linear Models G Salha-Galvan, R Hennequin, M Vazirgiannis 2020 European Conference on Machine Learning and Principles and Practice of …, 2020 | 11* | 2020 |
| Hierarchical Latent Relation Modeling for Collaborative Metric Learning VA Tran, G Salha-Galvan, R Hennequin, M Moussallam 15th ACM Conference on Recommender Systems, 2021 | 10 | 2021 |
| Track Mix Generation on Music Streaming Services using Transformers W Bendada, T Bontempelli, M Morlon, B Chapus, T Cador, T Bouabça, ... 17th ACM Conference on Recommender Systems, 2023 | 9 | 2023 |
| Let's Get It Started: Fostering the Discoverability of New Releases on Deezer L Briand, T Bontempelli, W Bendada, M Morlon, F Rigaud, B Chapus, ... 46th European Conference on Information Retrieval, 2024 | 8 | 2024 |
| A Scalable Framework for Automatic Playlist Continuation on Music Streaming Services W Bendada, G Salha-Galvan, T Bouabça, T Cazenave 46th International ACM SIGIR Conference on Research and Development in …, 2023 | 8 | 2023 |
| Modeling the Music Genre Perception Across Language-Bound Cultures EV Epure, G Salha-Galvan, M Moussallam, R Hennequin 2020 Conference on Empirical Methods in Natural Language Processing, 2020 | 8 | 2020 |
| Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation G Salha-Galvan École Polytechnique, Institut Polytechnique de Paris, 2022 | 3 | 2022 |
Romain HennequinDeezer ResearchVerified email at deezer.com
