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ORCIDGuillaume Salha
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2020 – today
- 2025
[i24]Guillaume Salha-Galvan, Jiaying Xu:
To Share or Not to Share: Investigating Weight Sharing in Variational Graph Autoencoders. CoRR abs/2502.16724 (2025)- 2024
- [c21]Léa Briand, Théo Bontempelli, Walid Bendada, Mathieu Morlon, François Rigaud, Benjamin Chapus, Thomas Bouabça, Guillaume Salha-Galvan:
Let's Get It Started: Fostering the Discoverability of New Releases on Deezer. ECIR (5) 2024: 286-291 - [c20]Léa Briand, Théo Bontempelli, Walid Bendada, Mathieu Morlon, François Rigaud, Benjamin Chapus, Thomas Bouabça, Guillaume Salha-Galvan:
Let's Get It Started (Again!): Fostering the Discoverability of New Releases on Deezer. MuRS@RecSys 2024 - [c19]Kristina Matrosova
, Lilian Marey, Guillaume Salha-Galvan, Thomas Louail, Olivier Bodini, Manuel Moussallam:
Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data. RecSys 2024: 148-157 - [c18]Viet-Anh Tran, Guillaume Salha-Galvan, Bruno Sguerra, Romain Hennequin:
Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session Recommendation. RecSys 2024: 486-496 - [i23]Léa Briand, Théo Bontempelli, Walid Bendada, Mathieu Morlon, François Rigaud, Benjamin Chapus, Thomas Bouabça, Guillaume Salha-Galvan:
Let's Get It Started: Fostering the Discoverability of New Releases on Deezer. CoRR abs/2401.02827 (2024) - [i22]Kristina Matrosova, Lilian Marey, Guillaume Salha-Galvan, Thomas Louail, Olivier Bodini, Manuel Moussallam:
Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data. CoRR abs/2408.16430 (2024) - [i21]Viet-Anh Tran, Guillaume Salha-Galvan, Bruno Sguerra, Romain Hennequin:
Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session Recommendation. CoRR abs/2408.16578 (2024) - 2023
- [c17]Walid Bendada, Théo Bontempelli, Mathieu Morlon, Benjamin Chapus, Thibault Cador, Thomas Bouabça, Guillaume Salha-Galvan:
Track Mix Generation on Music Streaming Services using Transformers. RecSys 2023: 112-115 - [c16]Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin, Thomas Bouabça, Tristan Cazenave:
On the Consistency of Average Embeddings for Item Recommendation. RecSys 2023: 833-839 - [c15]Walid Bendada, Guillaume Salha-Galvan, Thomas Bouabça, Tristan Cazenave:
A Scalable Framework for Automatic Playlist Continuation on Music Streaming Services. SIGIR 2023: 464-474 - [c14]Viet-Anh Tran, Guillaume Salha-Galvan, Bruno Sguerra, Romain Hennequin:
Attention Mixtures for Time-Aware Sequential Recommendation. SIGIR 2023: 1821-1826 - [i20]Viet-Anh Tran, Guillaume Salha-Galvan, Bruno Sguerra, Romain Hennequin:
Attention Mixtures for Time-Aware Sequential Recommendation. CoRR abs/2304.08158 (2023) - [i19]Walid Bendada, Guillaume Salha-Galvan, Thomas Bouabça, Tristan Cazenave:
A Scalable Framework for Automatic Playlist Continuation on Music Streaming Services. CoRR abs/2304.09061 (2023) - [i18]Walid Bendada, Théo Bontempelli, Mathieu Morlon, Benjamin Chapus, Thibault Cador, Thomas Bouabça, Guillaume Salha-Galvan:
Track Mix Generation on Music Streaming Services using Transformers. CoRR abs/2307.03045 (2023) - [i17]Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin, Thomas Bouabça, Tristan Cazenave:
On the Consistency of Average Embeddings for Item Recommendation. CoRR abs/2308.12767 (2023) - 2022
- [b1]Guillaume Salha:
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). Polytechnic Institute of Paris, Palaiseau, France, 2022 - [j2]Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis:
Modularity-aware graph autoencoders for joint community detection and link prediction. Neural Networks 153: 474-495 (2022) - [c13]Théo Bontempelli, Benjamin Chapus, François Rigaud, Mathieu Morlon, Marin Lorant, Guillaume Salha-Galvan:
Flow Moods: Recommending Music by Moods on Deezer. RecSys 2022: 452-455 - [i16]Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis:
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction. CoRR abs/2202.00961 (2022) - [i15]Guillaume Salha-Galvan:
Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation. CoRR abs/2205.14651 (2022) - [i14]Théo Bontempelli, Benjamin Chapus, François Rigaud, Mathieu Morlon, Marin Lorant, Guillaume Salha-Galvan:
Flow Moods: Recommending Music by Moods on Deezer. CoRR abs/2207.11229 (2022) - [i13]Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis:
New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction. CoRR abs/2211.08972 (2022) - 2021
- [j1]Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis:
FastGAE: Scalable graph autoencoders with stochastic subgraph decoding. Neural Networks 142: 1-19 (2021) - [c12]Léa Briand, Guillaume Salha-Galvan, Walid Bendada, Mathieu Morlon, Viet-Anh Tran:
A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps. KDD 2021: 2601-2609 - [c11]Viet-Anh Tran, Guillaume Salha-Galvan, Romain Hennequin, Manuel Moussallam:
Hierarchical Latent Relation Modeling for Collaborative Metric Learning. RecSys 2021: 302-309 - [c10]Guillaume Salha-Galvan, Romain Hennequin, Benjamin Chapus, Viet-Anh Tran, Michalis Vazirgiannis:
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders. RecSys 2021: 443-452 - [c9]Elena V. Epure, Guillaume Salha-Galvan, Manuel Moussallam, Romain Hennequin:
Modéliser la perception des genres musicaux à travers différentes cultures à partir de ressources linguistiques (Modeling the Music Genre Perception across Language-Bound Cultures ). TALN (1) 2021: 270-272 - [i12]Léa Briand, Guillaume Salha-Galvan, Walid Bendada, Mathieu Morlon, Viet-Anh Tran:
A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps. CoRR abs/2106.03819 (2021) - [i11]Guillaume Salha-Galvan, Romain Hennequin, Benjamin Chapus, Viet-Anh Tran, Michalis Vazirgiannis:
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders. CoRR abs/2108.01053 (2021) - [i10]Viet-Anh Tran, Guillaume Salha-Galvan, Romain Hennequin, Manuel Moussallam:
Hierarchical Latent Relation Modeling for Collaborative Metric Learning. CoRR abs/2108.04655 (2021) - 2020
- [c8]Elena V. Epure, Guillaume Salha, Manuel Moussallam, Romain Hennequin:
Modeling the Music Genre Perception across Language-Bound Cultures. EMNLP (1) 2020: 4765-4779 - [c7]Elena V. Epure, Guillaume Salha, Romain Hennequin:
Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation. ISMIR 2020: 803-810 - [c6]Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis:
Simple and Effective Graph Autoencoders with One-Hop Linear Models. ECML/PKDD (1) 2020: 319-334 - [c5]Walid Bendada, Guillaume Salha, Théo Bontempelli:
Carousel Personalization in Music Streaming Apps with Contextual Bandits. RecSys 2020: 420-425 - [c4]Elena V. Epure, Guillaume Salha, Félix Voituret, Marion Baranes, Romain Hennequin:
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). JEP-TALN-RECITAL (Demos) 2020: 18-21 - [i9]Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis:
Simple and Effective Graph Autoencoders with One-Hop Linear Models. CoRR abs/2001.07614 (2020) - [i8]Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis:
FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding. CoRR abs/2002.01910 (2020) - [i7]Walid Bendada, Guillaume Salha, Théo Bontempelli:
Carousel Personalization in Music Streaming Apps with Contextual Bandits. CoRR abs/2009.06546 (2020) - [i6]Elena V. Epure, Guillaume Salha, Romain Hennequin:
Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation. CoRR abs/2009.07755 (2020) - [i5]Elena V. Epure, Guillaume Salha, Manuel Moussallam, Romain Hennequin:
Modeling the Music Genre Perception across Language-Bound Cultures. CoRR abs/2010.06325 (2020)
2010 – 2019
- 2019
- [c3]Guillaume Salha, Stratis Limnios, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis:
Gravity-Inspired Graph Autoencoders for Directed Link Prediction. CIKM 2019: 589-598 - [c2]Guillaume Salha, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis:
A Degeneracy Framework for Scalable Graph Autoencoders. IJCAI 2019: 3353-3359 - [i4]Guillaume Salha, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis:
A Degeneracy Framework for Scalable Graph Autoencoders. CoRR abs/1902.08813 (2019) - [i3]Guillaume Salha, Stratis Limnios, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis:
Gravity-Inspired Graph Autoencoders for Directed Link Prediction. CoRR abs/1905.09570 (2019) - [i2]Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis:
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks. CoRR abs/1910.00942 (2019) - 2018
- [c1]Guillaume Salha, Nikolaos Tziortziotis, Michalis Vazirgiannis:
Adaptive Submodular Influence Maximization with Myopic Feedback. ASONAM 2018: 455-462 - 2017
- [i1]Guillaume Salha, Nikolaos Tziortziotis, Michalis Vazirgiannis:
Adaptive Submodular Influence Maximization with Myopic Feedback. CoRR abs/1704.06905 (2017)
Coauthor Index
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