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George T. Cantwell
George T. Cantwell
University of Cambridge
E-mail confirmado em umich.edu - Página inicial
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Citado por
Citado por
Ano
Balance in signed networks
A Kirkley, GT Cantwell, MEJ Newman
Physical Review E 99 (1), 012320, 2019
1082019
Efficient method for estimating the number of communities in a network
MA Riolo, GT Cantwell, G Reinert, MEJ Newman
Physical Review E 96 (3), 032310, 2017
762017
Bayesian inference of network structure from unreliable data
JG Young, GT Cantwell, MEJ Newman
Journal of Complex Networks 8 (6), cnaa046, 2020
702020
Message passing on networks with loops
GT Cantwell, MEJ Newman
Proceedings of the National Academy of Sciences 116 (47), 23398-23403, 2019
682019
Improved mutual information measure for clustering, classification, and community detection
MEJ Newman, GT Cantwell, JG Young
58*
Belief propagation for networks with loops
A Kirkley, GT Cantwell, MEJ Newman
Science Advances 7 (17), eabf1211, 2021
492021
Multiple stages of learning in perceptual categorization: evidence and neurocomputational theory
G Cantwell, MJ Crossley, FG Ashby
Psychonomic bulletin & review 22 (6), 1598-1613, 2015
452015
Thresholding normally distributed data creates complex networks
GT Cantwell, Y Liu, BF Maier, AC Schwarze, CA Serván, J Snyder, ...
Physical Review E 101 (6), 062302, 2020
282020
Mixing patterns and individual differences in networks
GT Cantwell, MEJ Newman
Physical Review E 99 (4), 042306, 2019
232019
Perceptual category learning and visual processing: An exercise in computational cognitive neuroscience
G Cantwell, M Riesenhuber, JL Roeder, FG Ashby
Neural Networks 89, 31-38, 2017
182017
Inference, Model Selection, and the Combinatorics of Growing Trees
GT Cantwell, G St-Onge, JG Young
Physical Review Letters 126 (3), 038301, 2021
16*2021
The friendship paradox in real and model networks
GT Cantwell, A Kirkley, MEJ Newman
Journal of Complex Networks 9 (2), cnab011, 2021
142021
Belief propagation for permutations, rankings, and partial orders
GT Cantwell, C Moore
Physical Review E 105, L052303, 2022
52022
Heterogeneous message passing for heterogeneous networks
GT Cantwell, A Kirkley, F Radicchi
arXiv preprint arXiv:2305.02294, 2023
22023
Approximate sampling and estimation of partition functions using neural networks
GT Cantwell
arXiv preprint arXiv:2209.10423, 2022
2022
Robust Bayesian inference of network structure from unreliable data
JG Young, GT Cantwell, MEJ Newman
arXiv preprint arXiv:2008.03334, 2020
2020
Correlation in Complex Networks
GT Cantwell
2020
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Artigos 1–17