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Brugnone, Nathan
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1

Is from ought? A comparison of unsupervised methods for str..:

Brugnone, Nathan ; Benkler, Noam ; Revay, Peter...
Journal of Computational Social Science.  , 2024
Link: https://doi.org/10.1007/..
 
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2

Modeling complex problems by harnessing the collective inte..:

Knox, CB ; Gray, Steven ; Zareei, Mahdi...
Collective Intelligence.  2 (2023)  4 - p. , 2023
Link: https://doi.org/10.1177/..
 
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3

Coarse Graining of Data via Inhomogeneous Diffusion Condens..:

, In: 2019 IEEE International Conference on Big Data (Big Data),
Brugnone, Nathan ; Gonopolskiy, Alex ; Moyle, Mark W.... - p. 2624-2633 , 2019
Link: https://doi.org/10.1109/..
 
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4

Modeling interventions to reduce deforestation in Zambia:

Richardson, Robert B. ; Olabisi, Laura Schmitt ; Waldman, Kurt B...
Agricultural Systems.  194 (2021)  - p. 103263 , 2021
Link: https://doi.org/10.1016/..
 
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5

MagNet: A Neural Network for Directed Graphs:

Zhang, Xitong ; He, Yixuan ; Brugnone, Nathan..
http://arxiv.org/abs/2102.11391.  , 2021
Link: http://arxiv.org/abs/210..
 
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6

MagNet: A Neural Network for Directed Graphs:

Zhang, Xitong ; He, Yixuan ; Brugnone, Nathan..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9425115/.  , 2021
Link: http://www.ncbi.nlm.nih...
 
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7

Coarse Graining of Data via Inhomogeneous Diffusion Condens..:

Brugnone, Nathan ; Gonopolskiy, Alex ; Moyle, Mark W...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7398322/.  , 2020
Link: http://www.ncbi.nlm.nih...
 
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8

Coarse Graining of Data via Inhomogeneous Diffusion Condens..:

Brugnone, Nathan ; Gonopolskiy, Alex ; Moyle, Mark W...
http://arxiv.org/abs/1907.04463.  , 2019
Link: http://arxiv.org/abs/190..
 
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