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Guillaume Salha-Galvan
Guillaume Salha-Galvan
Sonstige NamenGuillaume Salha
Deezer Research / LIX, École Polytechnique
Bestätigte E-Mail-Adresse bei lix.polytechnique.fr - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1152019
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks
G Salha, R Hennequin, M Vazirgiannis
NeurIPS 2019 Workshop on Graph Representation Learning, 2019
752019
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
692021
Carousel Personalization in Music Streaming Apps with Contextual Bandits
W Bendada, G Salha-Galvan, T Bontempelli
14th ACM Conference on Recommender Systems, 2020
632020
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
542022
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
462021
A Degeneracy Framework for Scalable Graph Autoencoders
G Salha, R Hennequin, VA Tran, M Vazirgiannis
28th International Joint Conference on Artificial Intelligence, 2019
442019
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
282022
Adaptive Submodular Influence Maximization with Myopic Feedback
G Salha, N Tziortziotis, M Vazirgiannis
2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018
262018
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
232021
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
192023
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
112020
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
102021
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
92023
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
82024
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
82023
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
82020
Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation
G Salha-Galvan
École Polytechnique, Institut Polytechnique de Paris, 2022
32022
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