English
Machine learning on graphs
Multi angle
Auteurs : Vandergheynst, Pierre (Auteur de la Conférence)
CIRM (Editeur )
05C50 - Graphs and linear algebra (matrices, eigenvalues, etc.)
05C90 - Applications of graph theory
68T99 - None of the above but in this section
CIRM (Editeur )
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Résumé :
There are a plethora of interesting applications that can leverage graph structured data, from drug discovery to route planning, and it is only natural that graph Machine Learning has attracted a lot of attention lately. We will review approaches in graph representation learning, leveraging intuition from graph signal processing to design and study graph neural networks and some of their recent extensions.
Keywords : machine learning; graphs; graph neural networks
Codes MSC : Keywords : machine learning; graphs; graph neural networks
05C50 - Graphs and linear algebra (matrices, eigenvalues, etc.)
05C90 - Applications of graph theory
68T99 - None of the above but in this section
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Informations sur la Vidéo
Réalisateur : Petit, JeanLangue : Anglais Date de publication : 21/06/2022 Date de captation : 23/05/2022 Sous collection : Research School arXiv category : Computation and Language Domaine : Computer Science Format : MP4 (.mp4) - HD Durée : 01:04:14 Audience : Researchers ; Graduate Students ; Doctoral Students, Post-Doctoral Students Download : https://videos.cirm-math.fr/2022-05-23_Vandergheysnst.mp4 
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Informations sur la Rencontre
Nom de la rencontre : Theoretical Computer Science Spring School: Machine Learning / Ecole de Printemps d'Informatique Théorique : Apprentissage AutomatiqueOrganisateurs de la rencontre : Cappé, Olivier ; Garivier, Aurélien ; Gribonval, Rémi ; Kaufmann, Emilie ; Vernade, Claire Dates : 23/05/2022 - 27/05/2022 Année de la rencontre : 2022 URL Congrès : https://conferences.cirm-math.fr/2542.html
Données de citation
DOI : 10.24350/CIRM.V.19921603Citer cette vidéo: Vandergheynst, Pierre (2022). Machine learning on graphs. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19921603 URI : http://dx.doi.org/10.24350/CIRM.V.19921603 |
Voir aussi
- [Multi angle] Machine learning in natural language processing / Auteur de la Conférence Yvon, François.
- [Multi angle] Privacy in machine learning / Auteur de la Conférence Cummings, Rachel.
- [Multi angle] Optimization for machine learning / Auteur de la Conférence Bach, Francis.
- [Multi angle] Multi-armed bandits and beyond / Auteur de la Conférence Agrawal, Shipra.
Bibliographie
- HAMILTON, William L., YING, Rex, et LESKOVEC, Jure. Representation learning on graphs: Methods and applications. arXiv preprint arXiv:1709.05584, 2017. - https://doi.org/10.48550/arXiv.1709.05584
- CHUNG, Fan RK et GRAHAM, Fan Chung. Spectral graph theory. American Mathematical Soc., 1997. - https://bookstore.ams.org/cbms-92
- BRONSTEIN, Michael M., BRUNA, Joan, LECUN, Yann, et al. Geometric deep learning: going beyond euclidean data. IEEE Signal Processing Magazine, 2017, vol. 34, no 4, p. 18-42. - https://doi.org/10.1109/MSP.2017.2693418
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