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Machine Learning on Graphs
Kozlowski, Diego
2020
 

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Keywords :
Networks; Deep Learning; Science of Science
Abstract :
[en] Graphs are a ubiquitous data structure that can be exploited in many different problems. In tasks where observations are not independently drawn from the data generating process, but their codependencies add valuable information, a network analysis might be useful for modelling those relations. In this seminar we will discuss about Graph Neural Networks, the deep learning approach for dealing with networks.
Disciplines :
Computer science
Author, co-author :
Kozlowski, Diego ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
Language :
English
Title :
Machine Learning on Graphs
Publication date :
18 November 2020
Event name :
Machine Learning Seminars
Event organizer :
Jakub Lengiewicz
Event place :
Luxembourg
Event date :
18/11/2020
Focus Area :
Computational Sciences
Funders :
FNR - Fonds National de la Recherche [LU]
Available on ORBilu :
since 18 November 2020

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