Machine Learning on Graphs

Reference : Machine Learning on Graphs


	Document type :	Scientific Presentations in Universities or Research Centers : Scientific presentation in universities or research centers
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/44727

Title :	Machine Learning on Graphs
Language :	English
Author, co-author :	Kozlowski, Diego [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
Publication date :	18-Nov-2020
Event name :	Machine Learning Seminars
Event date :	18/11/2020
Event organizer :	Jakub Lengiewicz
Event country :	Luxembourg
Keywords :	[en] 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.
Funders :	Fonds National de la Recherche - FnR
Target :	Researchers ; Students ; Others
Permalink :	http://hdl.handle.net/10993/44727

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Open access	ML_graphs_DiegoKozlowski.pdf		Author postprint	6.2 MB	View/Open

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