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pro vyhledávání: '"Nobre, Isabela Cunha Maia"'
Graph learning is often a necessary step in processing or representing structured data, when the underlying graph is not given explicitly. Graph learning is generally performed centrally with a full knowledge of the graph signals, namely the data tha
Externí odkaz:
http://arxiv.org/abs/2112.05887
Distributed graph signal processing algorithms require the network nodes to communicate by exchanging messages in order to achieve a common objective. These messages have a finite precision in realistic networks, which may necessitate to implement me
Externí odkaz:
http://arxiv.org/abs/1909.12725
Publikováno v:
International Journal of Satellite Communications & Networking; Sep2018, Vol. 36 Issue 5, p383-401, 19p
Graph learning is often a necessary step in processing or representing structured data, when the underlying graph is not given explicitly. Graph learning is generally performed centrally with a full knowledge of the graph signals, namely the data tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bc50050858ae0d9c13cef5e84f8fe82
https://infoscience.epfl.ch/record/299232
https://infoscience.epfl.ch/record/299232