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Hiroki Kanezashi
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Evolvegcn: Evolving graph convolutional networks for dynamic graphs
A Pareja, G Domeniconi, J Chen, T Ma, T Suzumura, H Kanezashi, ...
Proceedings of the AAAI conference on artificial intelligence 34 (04), 5363-5370, 2020
9622020
Scalable graph learning for anti-money laundering: A first look
M Weber, J Chen, T Suzumura, A Pareja, T Ma, H Kanezashi, T Kaler, ...
arXiv preprint arXiv:1812.00076, 1-7, 2018
1072018
The impact of COVID-19 on flight networks
T Suzumura, H Kanezashi, M Dholakia, E Ishii, SA Napagao, ...
2020 ieee international conference on big data (big data), 2443-2452, 2020
442020
X10-based massive parallel large-scale traffic flow simulation
T Suzumura, S Kato, T Imamichi, M Takeuchi, H Kanezashi, T Ide, ...
Proceedings of the 2012 ACM SIGPLAN X10 Workshop, 1-4, 2012
392012
Highly scalable x10-based agent simulation platform and its application to large-scale traffic simulation
T Suzumura, H Kanezashi
2012 IEEE/ACM 16th International Symposium on Distributed Simulation and …, 2012
362012
Extreme Big Data (EBD): Next generation big data infrastructure technologies towards yottabyte/year
S Matsuoka, H Sato, O Tatebe, F Takatsu, MA Jabri, M Koibuchi, ...
Supercomputing frontiers and innovations 1 (2), 89-107, 2014
332014
A high performance multi-modal traffic simulation platform and its case study with the Dublin city
T Suzumura, G McArdle, H Kanezashi
2015 Winter Simulation Conference (WSC), 767-778, 2015
222015
Ethereum fraud detection with heterogeneous graph neural networks
H Kanezashi, T Suzumura, X Liu, T Hirofuchi
arXiv preprint arXiv:2203.12363, 2022
182022
Anti-Money Laundering Datasets: InPlusLab Anti-Money Laundering DataDatasets
T Suzumura, H Kanezashi
AMLSim, 2021
152021
Adaptive pattern matching with reinforcement learning for dynamic graphs
H Kanezashi, T Suzumura, D Garcia-Gasulla, M Oh, S Matsuoka
2018 IEEE 25th International Conference on High Performance Computing (HiPC …, 2018
152018
Multi-modal traffic simulation platform on parallel and distributed systems
T Suzumura, H Kanezashi
Proceedings of the Winter Simulation Conference 2014, 769-780, 2014
142014
How Expressive are Transformers in Spectral Domain for Graphs?
A Bastos, A Nadgeri, K Singh, H Kanezashi, T Suzumura, IO Mulang
arXiv preprint arXiv:2201.09332, 2022
122022
Accelerating large-scale distributed traffic simulation with adaptive synchronization method
T Suzumura, H Kanezashi
20th ITS World CongressITS Japan, 2013
122013
Evolving graph convolutional networks for dynamic graphs
J Chen, A Pareja, G Domeniconi, T Ma, T Suzumura, T Kaler, TB Schardl, ...
US Patent 11,537,852, 2022
102022
An incremental local-first community detection method for dynamic graphs
H Kanezashi, T Suzumura
2016 IEEE International Conference on Big Data (Big Data), 3318-3325, 2016
102016
Performance optimization for agent-based traffic simulation by dynamic agent assignment
H Kanezashi, T Suzumura
2015 Winter Simulation Conference (WSC), 757-766, 2015
102015
Towards billion-scale social simulations
T Suzumura, C Houngkaew, H Kanezashi
Proceedings of the winter simulation conference 2014, 781-792, 2014
102014
A holistic architecture for super real-time multiagent simulation platforms
T Suzumura, H Kanezashi
2013 Winter Simulations Conference (WSC), 1604-1612, 2013
82013
The Impact of COVID-19 on Flight Networks. arXiv 2020
T Suzumura, H Kanezashi, M Dholakia, E Ishii, SA Napagao, ...
arXiv preprint arXiv:2006.02950, 0
8
Global data science project for covid-19 summary report
D Garcia-Gasulla, SA Napagao, I Li, H Maruyama, H Kanezashi, ...
72020
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