| Scan++ efficient algorithm for finding clusters, hubs and outliers on large-scale graphs H Shiokawa, Y Fujiwara, M Onizuka Proceedings of the VLDB Endowment 8 (11), 1178-1189, 2015 | 145 | 2015 |
| Fast algorithm for modularity-based graph clustering H Shiokawa, Y Fujiwara, M Onizuka Proceedings of the AAAI conference on artificial intelligence 27 (1), 1170-1176, 2013 | 145 | 2013 |
| Rabbit order: Just-in-time parallel reordering for fast graph analysis J Arai, H Shiokawa, T Yamamuro, M Onizuka, S Iwamura 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2016 | 139 | 2016 |
| Efficient personalized pagerank with accuracy assurance Y Fujiwara, M Nakatsuji, T Yamamuro, H Shiokawa, M Onizuka Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 90 | 2012 |
| Efficient search algorithm for SimRank Y Fujiwara, M Nakatsuji, H Shiokawa, M Onizuka 2013 IEEE 29th International Conference on Data Engineering (ICDE), 589-600, 2013 | 78 | 2013 |
| Efficient ad-hoc search for personalized pagerank Y Fujiwara, M Nakatsuji, H Shiokawa, T Mishima, M Onizuka Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013 | 64 | 2013 |
| MC-SleepNet: large-scale sleep stage scoring in mice by deep neural networks M Yamabe, K Horie, H Shiokawa, H Funato, M Yanagisawa, H Kitagawa Scientific reports 9 (1), 15793, 2019 | 58 | 2019 |
| Graph partitioning for distributed graph processing M Onizuka, T Fujimori, H Shiokawa Data Science and Engineering 2 (1), 94-105, 2017 | 45 | 2017 |
| Fast and exact top-k algorithm for pagerank Y Fujiwara, M Nakatsuji, H Shiokawa, T Mishima, M Onizuka Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 1106-1112, 2013 | 41 | 2013 |
| Scan-xp: Parallel structural graph clustering algorithm on intel xeon phi coprocessors T Takahashi, H Shiokawa, H Kitagawa Proceedings of the 2nd International Workshop on Network Data Analytics, 1-7, 2017 | 39 | 2017 |
| Scalescan: scalable density-based graph clustering H Shiokawa, T Takahashi, H Kitagawa Database and Expert Systems Applications: 29th International Conference …, 2018 | 34 | 2018 |
| Fast lasso algorithm via selective coordinate descent Y Fujiwara, Y Ida, H Shiokawa, S Iwamura Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 33 | 2016 |
| Adaptive message update for fast affinity propagation Y Fujiwara, M Nakatsuji, H Shiokawa, Y Ida, M Toyoda Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 28 | 2015 |
| Scaling fine-grained modularity clustering for massive graphs H Shiokawa, T Amagasa, H Kitagawa IJCAI, 2019 | 23 | 2019 |
| Nr-gan: Noise reduction gan for mice electroencephalogram signals Y Sumiya, K Horie, H Shiokawa, H Kitagawa Proceedings of the 2019 4th International Conference on Biomedical Imaging …, 2019 | 22 | 2019 |
| FORank: fast ObjectRank for large heterogeneous graphs T Sato, H Shiokawa, Y Yamaguchi, H Kitagawa Companion Proceedings of the The Web Conference 2018, 103-104, 2018 | 18 | 2018 |
| Towards real-time analysis of smart city data: A case study on city facility utilizations T Komamizu, T Amagasa, SA Shaikh, H Shiokawa, H Kitagawa 2016 IEEE 18th International Conference on High Performance Computing and …, 2016 | 17 | 2016 |
| MASC: Automatic sleep stage classification based on brain and myoelectric signals Y Suzuki, M Sato, H Shiokawa, M Yanagisawa, H Kitagawa 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 1489-1496, 2017 | 16 | 2017 |
| Scalable affinity propagation for massive datasets H Shiokawa Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9639-9646, 2021 | 14 | 2021 |
| DSCAN: distributed structural graph clustering for billion-edge graphs H Shiokawa, T Takahashi Database and Expert Systems Applications: 31st International Conference …, 2020 | 12 | 2020 |
Hiroyuki KitagawaUniveristy of TsukubaVerified email at cs.tsukuba.ac.jp