World's Best Scientists 2026 revealed!
Ken-ichi Kawarabayashi

Ken-ichi Kawarabayashi

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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
51
Citations
10484
World Ranking
5339
National Ranking
66

Mathematics

D-Index
49
Citations
10017
World Ranking
1144
National Ranking
14

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Ken-ichi Kawarabayashi is affiliated with the National Institute of Informatics in Japan. Their research spans primarily across the field of Computer Science, with a significant focus on Computational Theory and Mathematics.

The scientist's work covers several subfields, including:

  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Computer Networks and Communications
  • Discrete Mathematics and Combinatorics
  • Management Science and Operations Research

Kawarabayashi's main topics of research include:

  • Advanced Graph Theory Research
  • Limits and Structures in Graph Theory
  • Complexity and Algorithms in Graphs
  • Optimization and Search Problems
  • Semigroups and Automata Theory
  • Graph Labeling and Dimension Problems
  • Computational Geometry and Mesh Generation

The scientist has published extensively in a variety of venues. The most frequent publication outlets include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Journal of Combinatorial Theory Series B
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Communications of the ACM

Frequent co-authors collaborating with Kawarabayashi include:

  • Stephan Kreutzer
  • O-joung Kwon
  • Hanna Sumita
  • Daisuke Hatano
  • Takuro Fukunaga

Selected recent papers authored or co-authored by Kawarabayashi are:

  • "100,000-spin coherent Ising machine," 2021, Science Advances
  • "How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks," 2020, arXiv (Cornell University)
  • "The Linear Distance Traveling Tournament Problem," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "A polynomial excluded-minor approximation of treedepth," 2021, Journal of the European Mathematical Society
  • "Quickly excluding a non-planar graph," 2020, arXiv (Cornell University)

Best Publications

  • Representation Learning on Graphs with Jumping Knowledge Networks

    Keyulu Xu;Chengtao Li;Yonglong Tian;Tomohiro Sonobe

  • A coherent Ising machine for 2000-node optimization problems.

    Takahiro Inagaki;Yoshitaka Haribara;Yoshitaka Haribara;Koji Igarashi;Tomohiro Sonobe;Tomohiro Sonobe

  • Experimental investigation of performance differences between coherent Ising machines and a quantum annealer

    Ryan Hamerly;Ryan Hamerly;Takahiro Inagaki;Peter L. McMahon;Peter L. McMahon;Peter L. McMahon;Davide Venturelli;Davide Venturelli

  • 100,000-spin coherent Ising machine.

    Toshimori Honjo;Tomohiro Sonobe;Kensuke Inaba;Takahiro Inagaki

  • The disjoint paths problem in quadratic time

    Ken-ichi Kawarabayashi;Yusuke Kobayashi;Bruce Reed

  • Algorithmic graph minor theory: Decomposition, approximation, and coloring

    E.D. Demaine;M.T. Hajiaghayi;K. Kawarabayashi

  • Coherent Ising machines—optical neural networks operating at the quantum limit

    Yoshihisa Yamamoto;Kazuyuki Aihara;Timothee Leleu;Ken-ichi Kawarabayashi

  • Fast and accurate influence maximization on large networks with pruned Monte-Carlo simulations

    Naoto Ohsaka;Takuya Akiba;Yuichi Yoshida;Ken-Ichi Kawarabayashi

  • Estimating Local Intrinsic Dimensionality

    Laurent Amsaleg;Oussama Chelly;Teddy Furon;Stéphane Girard

  • Finding topological subgraphs is fixed-parameter tractable

    Martin Grohe;Ken-ichi Kawarabayashi;Dániel Marx;Paul Wollan

  • How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks

    Keyulu Xu;Mozhi Zhang;Jingling Li;Simon Shaolei Du

  • Computing crossing number in linear time

    Ken-ichi Kawarabayashi;Buce Reed

  • Scalable similarity search for SimRank

    Mitsuru Kusumoto;Takanori Maehara;Ken-ichi Kawarabayashi

  • Fast shortest-path distance queries on road networks by pruned highway labeling

    Takuya Akiba;Yoichi Iwata;Ken-ichi Kawarabayashi;Yuki Kawata

  • What Can Neural Networks Reason About

    Keyulu Xu;Jingling Li;Mozhi Zhang;Simon S. Du

  • Optimal Budget Allocation: Theoretical Guarantee and Efficient Algorithm

    Tasuku Soma;Naonori Kakimura;Kazuhiro Inaba;Ken-ichi Kawarabayashi

  • Dynamic influence analysis in evolving networks

    Naoto Ohsaka;Takuya Akiba;Yuichi Yoshida;Ken-ichi Kawarabayashi

  • Shortest-path queries for complex networks: exploiting low tree-width outside the core

    Takuya Akiba;Christian Sommer;Ken-ichi Kawarabayashi

  • A Simpler Linear Time Algorithm for Embedding Graphs into an Arbitrary Surface and the Genus of Graphs of Bounded Tree-Width

    K.-i. Kawarabayashi;B. Mohar;B. Reed

  • A Separator Theorem in Minor-Closed Classes

    Ken-ichi Kawarabayashi;Bruce Reed

Frequent Co-Authors

Bojan Mohar
Bojan Mohar Simon Fraser University
Bruce Reed
Bruce Reed McGill University
Danushka Bollegala
Danushka Bollegala University of Liverpool
Mikkel Thorup
Mikkel Thorup University of Copenhagen
Robin Thomas
Robin Thomas Georgia Institute of Technology
MohammadTaghi Hajiaghayi
MohammadTaghi Hajiaghayi University of Maryland, College Park
Yoshihisa Yamamoto
Yoshihisa Yamamoto Stanford University
Hiroki Takesue
Hiroki Takesue NTT (Japan)
Daniel Král
Daniel Král Masaryk University

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