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George T. Cantwell
Observed names:
Cantwell, George T.,
George Cantwell,
George T Cantwell
Institution:
University of Cambridge
Observed institutions:
Santa Fe Institute,
University of California, Santa Barbara,
University of Cambridge,
University of Michigan
ORCID:
0000-0002-4205-3691
Observed ORCID:
0000-0002-4205-3691
OpenAlex ID:
A5082313934
Message passing on networks with loops
2019
·
George T. Cantwell
, M. E. J. Newman
·
Proceedings of the National Academy of Sciences
·
113
Balance in signed networks
2019
·
Alec Kirkley
, George T. Cantwell
, et al.
·
Physical review. E
·
110
PDF
Efficient method for estimating the number of communities in a network
2017
·
Maria A. Riolo
, George T. Cantwell
, et al.
·
Physical review. E
·
83
PDF
Improved mutual information measure for clustering, classification, and community detection
2020
·
M. E. J. Newman
, George T. Cantwell
, et al.
·
Physical review. E
·
71
PDF
Bayesian inference of network structure from unreliable data
2020
·
Jean-Gabriel Young
, George T Cantwell
, et al.
·
Journal of Complex Networks
·
67
Belief propagation for networks with loops
2021
·
Alec Kirkley
, George T. Cantwell
, et al.
·
Science Advances
·
52
Multiple stages of learning in perceptual categorization: evidence and neurocomputational theory
2015
·
George Cantwell
, Matthew J. Crossley
, et al.
·
Psychonomic Bulletin & Review
·
38
PDF
Thresholding normally distributed data creates complex networks
2020
·
George T. Cantwell
, Yanchen Liu
, et al.
·
Physical review. E
·
30
PDF
Mixing patterns and individual differences in networks
2019
·
George T. Cantwell
, M. E. J. Newman
·
Physical review. E
·
24
PDF
The friendship paradox in real and model networks
2021
·
George T Cantwell
, Alec Kirkley
, et al.
·
Journal of Complex Networks
·
20
PDF
Perceptual category learning and visual processing: An exercise in computational cognitive neuroscience
2017
·
George Cantwell
, Maximilian Riesenhuber
, et al.
·
Neural Networks
·
12
Heterogeneous message passing for heterogeneous networks
2023
·
George T. Cantwell
, Alec Kirkley
, et al.
·
Physical review. E
·
10
PDF
Inference, Model Selection, and the Combinatorics of Growing Trees
2021
·
George T. Cantwell
, Guillaume St-Onge
, et al.
·
Physical Review Letters
·
10
PDF
Belief propagation for permutations, rankings, and partial orders
2022
·
George T. Cantwell
, Cristopher Moore
·
Physical review. E
·
4
PDF
Recovering the past states of growing trees.
2019
·
George T. Cantwell
, Guillaume St-Onge
, et al.
·
arXiv (Cornell University)
·
3
Valence and interactions in judicial voting
2024
·
Edward D. Lee
, George T. Cantwell
·
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
·
2
PDF
Approximation for return time distributions of random walks on sparse networks
2025
·
Erik Hormann
, Renaud Lambiotte
, et al.
·
Physical review. E
·
1
PDF
Approximate sampling and estimation of partition functions using neural networks
2022
·
Cantwell, George T.
·
arXiv (Cornell University)
·
1
PDF
Graph neural networks and the energetic cavity method for combinatorial optimization
2026
·
George, Joe Bacchus
, Cantwell, George T.
·
arXiv (Cornell University)
PDF
Threshold and quasistationary distribution for the susceptible-infectious-susceptible model on networks
2026
·
George T. Cantwell
, Cristopher Moore
·
Physical review. E
Embedding networks with the random walk first return time distribution
2025
·
Thapar, Vedanta
, Lambiotte, Renaud
, et al.
·
arXiv (Cornell University)
PDF
Correlation in Complex Networks
2020
·
George T. Cantwell
·
Deep Blue (University of Michigan)
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Works count:
22
Citation count:
651
H-index:
11
I10-index:
13
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