| Representation learning on graphs with jumping knowledge networks K Xu, C Li, Y Tian, T Sonobe, K Kawarabayashi, S Jegelka International conference on machine learning, 5453-5462, 2018 | 1991 | 2018 |
| A coherent Ising machine for 2000-node optimization problems T Inagaki, Y Haribara, K Igarashi, T Sonobe, S Tamate, T Honjo, ... Science 354 (6312), 603-606, 2016 | 712 | 2016 |
| How neural networks extrapolate: From feedforward to graph neural networks K Xu, M Zhang, J Li, SS Du, K Kawarabayashi, S Jegelka arXiv preprint arXiv:2009.11848, 2020 | 295 | 2020 |
| Experimental investigation of performance differences between coherent Ising machines and a quantum annealer R Hamerly, T Inagaki, PL McMahon, D Venturelli, A Marandi, T Onodera, ... Science advances 5 (5), eaau0823, 2019 | 286 | 2019 |
| What can neural networks reason about? K Xu, J Li, M Zhang, SS Du, K Kawarabayashi, S Jegelka arXiv preprint arXiv:1905.13211, 2019 | 255 | 2019 |
| The disjoint paths problem in quadratic time K Kawarabayashi, Y Kobayashi, B Reed Journal of Combinatorial Theory, Series B 102 (2), 424-435, 2012 | 235 | 2012 |
| Algorithmic graph minor theory: Decomposition, approximation, and coloring ED Demaine, MT Hajiaghayi, K Kawarabayashi 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS'05), 637-646, 2005 | 230 | 2005 |
| Fast and accurate influence maximization on large networks with pruned monte-carlo simulations N Ohsaka, T Akiba, Y Yoshida, K Kawarabayashi Proceedings of the AAAI conference on artificial intelligence 28 (1), 2014 | 218 | 2014 |
| Coherent Ising machines—optical neural networks operating at the quantum limit Y Yamamoto, K Aihara, T Leleu, K Kawarabayashi, S Kako, M Fejer, ... npj Quantum Information 3 (1), 49, 2017 | 160 | 2017 |
| Estimating local intrinsic dimensionality L Amsaleg, O Chelly, T Furon, S Girard, ME Houle, K Kawarabayashi, ... Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 156 | 2015 |
| Finding topological subgraphs is fixed-parameter tractable M Grohe, K Kawarabayashi, D Marx, P Wollan Proceedings of the forty-third annual ACM symposium on Theory of computing …, 2011 | 156 | 2011 |
| 100,000-spin coherent Ising machine T Honjo, T Sonobe, K Inaba, T Inagaki, T Ikuta, Y Yamada, T Kazama, ... Science advances 7 (40), eabh0952, 2021 | 134 | 2021 |
| Computing crossing number in linear time K Kawarabayashi, B Reed Proceedings of the thirty-ninth annual ACM symposium on Theory of computing …, 2007 | 131 | 2007 |
| Optimal budget allocation: Theoretical guarantee and efficient algorithm T Soma, N Kakimura, K Inaba, K Kawarabayashi International Conference on Machine Learning, 351-359, 2014 | 127 | 2014 |
| Fast shortest-path distance queries on road networks by pruned highway labeling T Akiba, Y Iwata, K Kawarabayashi, Y Kawata 2014 Proceedings of the sixteenth workshop on algorithm engineering and …, 2014 | 120 | 2014 |
| Deterministic edge connectivity in near-linear time K Kawarabayashi, M Thorup Journal of the ACM (JACM) 66 (1), 1-50, 2018 | 119* | 2018 |
| Scalable similarity search for SimRank M Kusumoto, T Maehara, K Kawarabayashi Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 117 | 2014 |
| Dynamic influence analysis in evolving networks N Ohsaka, T Akiba, Y Yoshida, K Kawarabayashi Proceedings of the VLDB Endowment 9 (12), 1077-1088, 2016 | 97 | 2016 |
| Shortest-path queries for complex networks: exploiting low tree-width outside the core T Akiba, C Sommer, K Kawarabayashi Proceedings of the 15th International Conference on Extending Database …, 2012 | 97 | 2012 |
| A separator theorem in minor-closed classes K Kawarabayashi, B Reed 2010 IEEE 51st Annual Symposium on Foundations of Computer Science, 153-162, 2010 | 95 | 2010 |
