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Tatsuro Kawamoto
Title
Cited by
Cited by
Year
Estimating the resolution limit of the map equation in community detection
T Kawamoto, M Rosvall
Physical Review E 91 (1), 012809, 2015
802015
Mean-field theory of graph neural networks in graph partitioning
T Kawamoto, M Tsubaki, T Obuchi
Advances in Neural Information Processing Systems 31, 2018
762018
A stochastic model of tweet diffusion on the Twitter network
T Kawamoto
Physica A: Statistical Mechanics and its Applications 392 (16), 3470-3475, 2013
422013
Cross-validation estimate of the number of clusters in a network
T Kawamoto, Y Kabashima
Scientific reports 7 (1), 3327, 2017
402017
Probabilistic interpretation of resonant states
N Hatano, T Kawamoto, J Feinberg
Pramana 73, 553-564, 2009
362009
Limitations in the spectral method for graph partitioning: Detectability threshold and localization of eigenvectors
T Kawamoto, Y Kabashima
Physical Review E 91 (6), 062803, 2015
322015
Localized eigenvectors of the non-backtracking matrix
T Kawamoto
Journal of Statistical Mechanics: Theory and Experiment 2016 (2), 023404, 2016
222016
Viral spreading of daily information in online social networks
T Kawamoto, N Hatano
Physica A: Statistical Mechanics and its Applications 406, 34-41, 2014
222014
A tractable fully bayesian method for the stochastic block model
K Hayashi, T Konishi, T Kawamoto
arXiv preprint arXiv:1602.02256, 2016
212016
Algorithmic detectability threshold of the stochastic block model
T Kawamoto
arXiv preprint arXiv:1710.08841, 2017
172017
Comparative analysis on the selection of number of clusters in community detection
T Kawamoto, Y Kabashima
arXiv preprint arXiv:1606.07668, 2016
162016
Test of fluctuation theorems in non-Markovian open quantum systems
T Kawamoto, N Hatano
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 84 (3 …, 2011
162011
Detectability of the spectral method for sparse graph partitioning
T Kawamoto, Y Kabashima
Europhysics Letters 112 (4), 40007, 2015
122015
Democratic classification of free-format survey responses with a network-based framework
T Kawamoto, T Aoki
Nature Machine Intelligence 1 (7), 322-327, 2019
102019
Counting the number of metastable states in the modularity landscape: Algorithmic detectability limit of greedy algorithms in community detection
T Kawamoto, Y Kabashima
Physical Review E 99 (1), 010301, 2019
102019
Detectability thresholds of general modular graphs
T Kawamoto, Y Kabashima
Physical Review E 95 (1), 012304, 2017
82017
Consistency between ordering and clustering methods for graphs
T Kawamoto, M Ochi, T Kobayashi
Physical Review Research 5 (2), 023006, 2023
62023
Sequential locality of graphs and its hypothesis testing
T Kawamoto, T Kobayashi
Physical Review Research 5 (2), 023007, 2023
62023
The map equation and the resolution limit in community detection
T Kawamoto, M Rosvall
arXiv preprint arXiv:1402.4385, 2014
62014
Algorithmic infeasibility of community detection in higher-order networks
T Kawamoto
arXiv preprint arXiv:1710.08816, 2017
52017
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