Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Hanai, Masatoshi"'
Autor:
Xu, Xiaohang, Suzumura, Toyotaro, Yong, Jiawei, Hanai, Masatoshi, Yang, Chuang, Kanezashi, Hiroki, Jiang, Renhe, Fukushima, Shintaro
Next Point-of-Interest (POI) recommendation plays a crucial role in urban mobility applications. Recently, POI recommendation models based on Graph Neural Networks (GNN) have been extensively studied and achieved, however, the effective incorporation
Externí odkaz:
http://arxiv.org/abs/2310.01224
Revealing and analyzing the various properties of materials is an essential and critical issue in the development of materials, including batteries, semiconductors, catalysts, and pharmaceuticals. Traditionally, these properties have been determined
Externí odkaz:
http://arxiv.org/abs/2308.08934
The prediction of material properties plays a crucial role in the development and discovery of materials in diverse applications, such as batteries, semiconductors, catalysts, and pharmaceuticals. Recently, there has been a growing interest in employ
Externí odkaz:
http://arxiv.org/abs/2308.08129
Publikováno v:
J. Chem. Phys. 158, 084503 (2023)
Recent developments in machine learning have enabled accurate predictions of the dynamics of slow structural relaxation in glass-forming systems. However, existing machine-learning models for these tasks are mostly designed such that they learn a sin
Externí odkaz:
http://arxiv.org/abs/2206.14024
Autor:
Suzumura, Toyotaro, Sugiki, Akiyoshi, Takizawa, Hiroyuki, Imakura, Akira, Nakamura, Hiroshi, Taura, Kenjiro, Kudoh, Tomohiro, Hanawa, Toshihiro, Sekiya, Yuji, Kobayashi, Hiroki, Matsushima, Shin, Kuga, Yohei, Nakamura, Ryo, Jiang, Renhe, Kawase, Junya, Hanai, Masatoshi, Miyazaki, Hiroshi, Ishizaki, Tsutomu, Shimotoku, Daisuke, Miyamoto, Daisuke, Aida, Kento, Takefusa, Atsuko, Kurimoto, Takashi, Sasayama, Koji, Kitagawa, Naoya, Fujiwara, Ikki, Tanimura, Yusuke, Aoki, Takayuki, Endo, Toshio, Ohshima, Satoshi, Fukazawa, Keiichiro, Date, Susumu, Uchibayashi, Toshihiro
The growing amount of data and advances in data science have created a need for a new kind of cloud platform that provides users with flexibility, strong security, and the ability to couple with supercomputers and edge devices through high-performanc
Externí odkaz:
http://arxiv.org/abs/2203.14188
Autor:
Hanai, Masatoshi, Tziritas, Nikos, Suzumura, Toyotaro, Cai, Wentong, Theodoropoulos, Georgios
The dynamic scaling of distributed computations plays an important role in the utilization of elastic computational resources, such as the cloud. It enables the provisioning and de-provisioning of resources to match dynamic resource availability and
Externí odkaz:
http://arxiv.org/abs/2101.07026
Autor:
Suzumura, Toyotaro, Garcia-Gasulla, Dario, Napagao, Sergio Alvarez, Li, Irene, Maruyama, Hiroshi, Kanezashi, Hiroki, P'erez-Arnal, Raquel, Miyoshi, Kunihiko, Ishii, Euma, Suzuki, Keita, Shiba, Sayaka, Kurokawa, Mariko, Kanzawa, Yuta, Nakagawa, Naomi, Hanai, Masatoshi, Li, Yixin, Li, Tianxiao
This paper aims at providing the summary of the Global Data Science Project (GDSC) for COVID-19. as on May 31 2020. COVID-19 has largely impacted on our societies through both direct and indirect effects transmitted by the policy measures to counter
Externí odkaz:
http://arxiv.org/abs/2006.05573
Dynamic scaling aims to elastically change the number of processes during runtime to tune the performance of the distributed applications. This report briefly presents a performance evaluation of MPI process provisioning / de-provisioning for dynamic
Externí odkaz:
http://arxiv.org/abs/1912.12918
Autor:
Hanai, Masatoshi, Suzumura, Toyotaro, Tan, Wen Jun, Liu, Elvis, Theodoropoulos, Georgios, Cai, Wentong
We propose Distributed Neighbor Expansion (Distributed NE), a parallel and distributed graph partitioning method that can scale to trillion-edge graphs while providing high partitioning quality. Distributed NE is based on a new heuristic, called para
Externí odkaz:
http://arxiv.org/abs/1908.05855
Publikováno v:
Journal of Chemical Physics; 2/28/2023, Vol. 158 Issue 8, p1-11, 11p