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pro vyhledávání: '"Nathan Brugnone"'
Publikováno v:
Adv Neural Inf Process Syst
The prevalence of graph-based data has spurred the rapid development of graph neural networks (GNNs) and related machine learning algorithms. Yet, despite the many datasets naturally modeled as directed graphs, including citation, website, and traffi
Autor:
Daniel A. Colón-Ramos, Nathan Brugnone, Mark W. Moyle, Matthew J. Hirn, Guy Wolf, Alex Gonopolskiy, David van Dijk, Kevin R. Moon, Manik Kuchroo, Smita Krishnaswamy
Publikováno v:
Proc IEEE Int Conf Big Data
IEEE BigData
IEEE BigData
Big data often has emergent structure that exists at multiple levels of abstraction, which are useful for characterizing complex interactions and dynamics of the observations. Here, we consider multiple levels of abstraction via a multiresolution geo
Publikováno v:
Innovations in Collaborative Modeling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b2a3c6123f622ca635f5b64e047a59f
https://doi.org/10.14321/j.ctvz9396g.12
https://doi.org/10.14321/j.ctvz9396g.12
Publikováno v:
Agricultural Systems. 194:103263
CONTEXT Agriculture faces tremendous pressure to supply both growing and wealthier populations with more food, fiber, and fuel, while recognizing the limits of agricultural ecosystems. But it remains unclear whether it is possible to increase agricul