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Machine learning on graphs
Multi angle
Authors : Vandergheynst, Pierre (Author of the conference)
CIRM (Publisher )
05C50 - Graphs and linear algebra (matrices, eigenvalues, etc.)
05C90 - Applications of graph theory
68T99 - None of the above but in this section
CIRM (Publisher )
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Abstract :
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
MSC Codes : 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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Information on the Video
Film maker : Petit, JeanLanguage : English Available date : 21/06/2022 Conference Date : 23/05/2022 Subseries : Research School arXiv category : Computation and Language Mathematical Area(s) : Computer Science Format : MP4 (.mp4) - HD Video Time : 01:04:14 Targeted Audience : Researchers ; Graduate Students ; Doctoral Students, Post-Doctoral Students Download : https://videos.cirm-math.fr/2022-05-23_Vandergheysnst.mp4 
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Information on the Event
Event Title : Theoretical Computer Science Spring School: Machine Learning / Ecole de Printemps d'Informatique Théorique : Apprentissage AutomatiqueEvent Organizers : Cappé, Olivier ; Garivier, Aurélien ; Gribonval, Rémi ; Kaufmann, Emilie ; Vernade, Claire Dates : 23/05/2022 - 27/05/2022 Event Year : 2022 Event URL : https://conferences.cirm-math.fr/2542.html
Citation Data
DOI : 10.24350/CIRM.V.19921603Cite this video as: 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 |
See Also
- [Multi angle] Machine learning in natural language processing / Author of the conference Yvon, François.
- [Multi angle] Privacy in machine learning / Author of the conference Cummings, Rachel.
- [Multi angle] Optimization for machine learning / Author of the conference Bach, Francis.
- [Multi angle] Multi-armed bandits and beyond / Author of the conference Agrawal, Shipra.
Bibliography
- 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
Imagette Video
