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Tatsuro Kawamoto
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Publications
- 2020
- [i21]Chihiro Noguchi, Tatsuro Kawamoto:
Fragility of spectral clustering for networks with an overlapping structure. CoRR abs/2003.02463 (2020) - [i19]Chihiro Noguchi, Tatsuro Kawamoto:
Palette diagram: A Python package for visualization of collective categorical data. CoRR abs/2011.01934 (2020) - 2019
- [i17]Chihiro Noguchi, Tatsuro Kawamoto:
Evaluating network partitions through visualization. CoRR abs/1906.00699 (2019) - 2018
- [c1]Tatsuro Kawamoto, Masashi Tsubaki, Tomoyuki Obuchi:
Mean-field theory of graph neural networks in graph partitioning. NeurIPS 2018: 4366-4376 - [i15]Tatsuro Kawamoto, Yoshiyuki Kabashima:
Counting the number of metastable states in the modularity landscape: Algorithmic detectability limit of greedy algorithms in community detection. CoRR abs/1808.07690 (2018) - [i14]Tatsuro Kawamoto, Masashi Tsubaki, Tomoyuki Obuchi:
Mean-field theory of graph neural networks in graph partitioning. CoRR abs/1810.11908 (2018) - 2016
- [i10]Tatsuro Kawamoto, Yoshiyuki Kabashima:
Cross-validation model assessment for modular networks. CoRR abs/1605.07915 (2016) - [i9]Tatsuro Kawamoto, Yoshiyuki Kabashima:
Comparative analysis of model assessment in community detection. CoRR abs/1606.07668 (2016) - [i8]Tatsuro Kawamoto, Yoshiyuki Kabashima:
Detectability thresholds of general modular graphs. CoRR abs/1608.08908 (2016) - 2015
- [i7]Tatsuro Kawamoto, Yoshiyuki Kabashima:
Limitations in the spectral method for graph partitioning: detectability threshold and localization of eigenvectors. CoRR abs/1502.06775 (2015) - [i4]Tatsuro Kawamoto, Yoshiyuki Kabashima:
Detectability of the spectral method for sparse graph partitioning. CoRR abs/1509.06484 (2015)

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