Tatsuro Kawamoto

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 28

Top Topics

Greedy Algorithms

Graph Partitioning

Top Venues

Nat. Mach. Intell.

Publications

Tatsuro Kawamoto
Entropy of microcanonical finite-graph ensembles. CoRR (2023)
Tatsuro Kawamoto
Single-trajectory map equation. CoRR (2022)
Masaki Ochi, Tatsuro Kawamoto
Finding community structure using the ordered random graph model. CoRR (2022)
Masaki Ochi, Tatsuro Kawamoto
Contribution of directedness in graph spectra. CoRR (2022)
Tatsuro Kawamoto, Masaki Ochi, Teruyoshi Kobayashi
Consistency between ordering and clustering methods for graphs. CoRR (2022)
Tatsuro Kawamoto, Teruyoshi Kobayashi
Sequential locality of graphs and its hypothesis testing. CoRR (2021)
Tatsuro Kawamoto
Spectral clustering of annotated graphs using a factor graph representation. CoRR (2020)
Chihiro Noguchi, Tatsuro Kawamoto
Fragility of spectral clustering for networks with an overlapping structure. CoRR (2020)
Tatsuro Kawamoto, Takaaki Aoki, Michiko Ueda
Graph-based open-ended survey on concerns related to COVID-19. CoRR (2020)
Chihiro Noguchi, Tatsuro Kawamoto
Palette diagram: A Python package for visualization of collective categorical data. CoRR (2020)
Chihiro Noguchi, Tatsuro Kawamoto
Evaluating network partitions through visualization. CoRR (2019)
Tatsuro Kawamoto, Takaaki Aoki
Democratic summary of public opinions in free-response surveys. CoRR (2019)
Tatsuro Kawamoto, Takaaki Aoki
Author Correction: Democratic classification of free-format survey responses with a network-based framework. Nat. Mach. Intell. 1 (8) (2019)
Tatsuro Kawamoto, Takaaki Aoki
Democratic classification of free-format survey responses with a network-based framework. Nat. Mach. Intell. 1 (7) (2019)
Tatsuro Kawamoto, Takaaki Aoki
Publisher Correction: Democratic classification of free-format survey responses with a network-based framework. Nat. Mach. Intell. 1 (8) (2019)
Tatsuro Kawamoto, Masashi Tsubaki, Tomoyuki Obuchi
Mean-field theory of graph neural networks in graph partitioning. CoRR (2018)
Tatsuro Kawamoto, Yoshiyuki Kabashima
Counting the number of metastable states in the modularity landscape: Algorithmic detectability limit of greedy algorithms in community detection. CoRR (2018)
Tatsuro Kawamoto, Masashi Tsubaki, Tomoyuki Obuchi
Mean-field theory of graph neural networks in graph partitioning. NeurIPS (2018)
Tatsuro Kawamoto
Algorithmic detectability threshold of the stochastic blockmodel. CoRR (2017)
Tatsuro Kawamoto
Algorithmic infeasibility of community detection in higher-order networks. CoRR (2017)
Tatsuro Kawamoto, Yoshiyuki Kabashima
Detectability thresholds of general modular graphs. CoRR (2016)
Kohei Hayashi, Takuya Konishi, Tatsuro Kawamoto
A Tractable Fully Bayesian Method for the Stochastic Block Model. CoRR (2016)
Tatsuro Kawamoto, Yoshiyuki Kabashima
Cross-validation model assessment for modular networks. CoRR (2016)
Tatsuro Kawamoto, Yoshiyuki Kabashima
Comparative analysis of model assessment in community detection. CoRR (2016)
Tatsuro Kawamoto
Persistence of activity on Twitter triggered by a natural disaster: A data analysis. CoRR (2015)
Tatsuro Kawamoto, Yoshiyuki Kabashima
Detectability of the spectral method for sparse graph partitioning. CoRR (2015)
Tatsuro Kawamoto, Yoshiyuki Kabashima
Limitations in the spectral method for graph partitioning: detectability threshold and localization of eigenvectors. CoRR (2015)
Tatsuro Kawamoto
Localized eigenvector of the non-backtracking matrix. CoRR (2015)
Tatsuro Kawamoto, Martin Rosvall
The map equation and the resolution limit in community detection. CoRR (2014)
Tatsuro Kawamoto, Naomichi Hatano
An explosive diffusion on a social network CoRR (2012)
Tatsuro Kawamoto
A stochastic model of the tweet diffusion on the Twitter network CoRR (2012)