Approximation ratios of graph neural networks for combinatorial problems R Sato, M Yamada, H Kashima Advances in Neural Information Processing Systems, 4081-4090, 2019 | 9 | 2019 |

Short-term precipitation prediction with skip-connected prednet R Sato, H Kashima, T Yamamoto International Conference on Artificial Neural Networks, 373-382, 2018 | 7 | 2018 |

A survey on the expressive power of graph neural networks R Sato arXiv preprint arXiv:2003.04078, 2020 | 5 | 2020 |

Random Features Strengthen Graph Neural Networks R Sato, M Yamada, H Kashima arXiv preprint arXiv:2002.03155, 2020 | 5 | 2020 |

Constant Time Graph Neural Networks R Sato, M Yamada, H Kashima arXiv preprint arXiv:1901.07868, 2019 | 3 | 2019 |

Fast Unbalanced Optimal Transport on Tree R Sato, M Yamada, H Kashima arXiv preprint arXiv:2006.02703, 2020 | 1 | 2020 |

Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces R Sato, M Cuturi, M Yamada, H Kashima arXiv preprint arXiv:2002.01615, 2020 | | 2020 |

Learning to Sample Hard Instances for Graph Algorithms R Sato, M Yamada, H Kashima Asian Conference on Machine Learning, 503--518, 2019 | | 2019 |