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Yacouba Kaloga
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Books and Theses
- 2021
- [b1]Yacouba Kaloga:
Learning attributed graphs representations. (Apprentissage de représentations de graphes attribués). University of Lyon, France, 2021
Journal Articles
- 2021
- [j3]Yacouba Kaloga, Pierre Borgnat, Sundeep Prabhakar Chepuri, Patrice Abry, Amaury Habrard:
Variational graph autoencoders for multiview canonical correlation analysis. Signal Process. 188: 108182 (2021) - 2020
- [j2]Louis Béthune, Yacouba Kaloga, Pierre Borgnat, Aurélien Garivier, Amaury Habrard:
Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening. Algorithms 13(9): 206 (2020) - 2019
- [j1]Yacouba Kaloga, Marion Foare, Nelly Pustelnik, Pablo Jensen:
Discrete Mumford-Shah on Graph for Mixing Matrix Estimation. IEEE Signal Process. Lett. 26(9): 1275-1279 (2019)
Conference and Workshop Papers
- 2022
- [c2]Yacouba Kaloga, Pierre Borgnat, Amaury Habrard:
A Simple Way to Learn Metrics Between Attributed Graphs. LoG 2022: 25 - 2021
- [c1]Yacouba Kaloga, Pierre Borgnat, Sundeep Prabhakar Chepuri, Patrice Abry, Amaury Habrard:
Multiview Variational Graph Autoencoders for Canonical Correlation Analysis. ICASSP 2021: 5320-5324
Informal and Other Publications
- 2022
- [i3]Yacouba Kaloga, Pierre Borgnat, Amaury Habrard:
A simple way to learn metrics between attributed graphs. CoRR abs/2209.12727 (2022) - 2020
- [i2]Louis Béthune, Yacouba Kaloga, Pierre Borgnat, Aurélien Garivier, Amaury Habrard:
Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening. CoRR abs/2007.03373 (2020) - [i1]Yacouba Kaloga, Pierre Borgnat, Sundeep Prabhakar Chepuri, Patrice Abry, Amaury Habrard:
Multiview Variational Graph Autoencoders for Canonical Correlation Analysis. CoRR abs/2010.16132 (2020)
Coauthor Index
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