Highly Scalable X10-Based Agent Simulation Platform and Its Application to Large-Scale Traffic Simulation. - Toyotaro Suzumura; Hiroki Kanezashi (DS-RT, 2012)

Towards performance optimization of X10-based agent simulation platform with adaptive synchronization method. - Toyotaro Suzumura; Hiroki Kanezashi (WSC, 2012)

A holistic architecture for super real-time multiagent simulation platforms. - Toyotaro Suzumura; Hiroki Kanezashi (WSC, 2013)

Towards billion-scale social simulations. - Toyotaro Suzumura; Charuwat Houngkaew; Hiroki Kanezashi (WSC, 2014)

Multi-modal traffic simulation platform on parallel and distributed systems. - Toyotaro Suzumura; Hiroki Kanezashi (WSC, 2014)

Extreme Big Data (EBD): Next Generation Big Data Infrastructure Technologies Towards Yottabyte/Year. - Satoshi Matsuoka; Hitoshi Sato; Osamu Tatebe; Michihiro Koibuchi; Ikki Fujiwara; Shuji Suzuki; Masanori Kakuta; Takashi Ishida 002; Yutaka Akiyama; Toyotaro Suzumura; Koji Ueno; Hiroki Kanezashi; et al. (Supercomput. Front. Innov., 2014)

Performance optimization for agent-based traffic simulation by dynamic agent assignment. - Hiroki Kanezashi; Toyotaro Suzumura (WSC, 2015)

A high performance multi-modal traffic simulation platform and its case study with the dublin city. - Toyotaro Suzumura; Gavin McArdle; Hiroki Kanezashi (WSC, 2015)

An incremental local-first community detection method for dynamic graphs. - Hiroki Kanezashi; Toyotaro Suzumura (IEEE BigData, 2016)

Adaptive Pattern Matching with Reinforcement Learning for Dynamic Graphs. - Hiroki Kanezashi; Toyotaro Suzumura; Dario Garcia-Gasulla; Min-hwan Oh; Satoshi Matsuoka (HiPC, 2018)

System G Distributed Graph Database. - Gabriel Tanase; Toyotaro Suzumura; Jinho Lee; Chun-Fu Chen 001; Jason Crawford; Hiroki Kanezashi; Song Zhang; Warut D. Vijitbenjaronk (CoRR, 2018)

Scalable Graph Learning for Anti-Money Laundering: A First Look. - Mark Weber; Jie Chen 007; Toyotaro Suzumura; Aldo Pareja; Tengfei Ma 001; Hiroki Kanezashi; Tim Kaler; Charles E. Leiserson; Tao B. Schardl (CoRR, 2018)

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. - Aldo Pareja; Giacomo Domeniconi; Jie Chen 007; Tengfei Ma 001; Toyotaro Suzumura; Hiroki Kanezashi; Tim Kaler; Charles E. Leiserson (CoRR, 2019)

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. - Aldo Pareja; Giacomo Domeniconi; Jie Chen 007; Tengfei Ma 001; Toyotaro Suzumura; Hiroki Kanezashi; Tim Kaler; Tao B. Schardl; Charles E. Leiserson (AAAI, 2020)

The Impact of COVID-19 on Flight Networks. - Toyotaro Suzumura; Hiroki Kanezashi; Mishal Dholakia; Euma Ishii; Sergio Álvarez-Napagao; Raquel Pérez-Arnal; Dario Garcia-Gasulla (IEEE BigData, 2020)

Global Data Science Project for COVID-19 Summary Report. - Dario Garcia-Gasulla; Sergio Álvarez-Napagao; Irene Li; Hiroshi Maruyama; Hiroki Kanezashi; Raquel Pérez-Arnal; Kunihiko Miyoshi; Euma Ishii; Keita Suzuki; Sayaka Shiba; Mariko Kurokawa; Yuta Kanzawa; et al. (CoRR, 2020)

Investigating Expressiveness of Transformer in Spectral Domain for Graphs. - Anson Bastos; Abhishek Nadgeri; Kuldeep Singh 001; Hiroki Kanezashi; Toyotaro Suzumura; Isaiah Onando Mulang' (CoRR, 2022)

Ethereum Fraud Detection with Heterogeneous Graph Neural Networks. - Hiroki Kanezashi; Toyotaro Suzumura; Xin Liu; Takahiro Hirofuchi (CoRR, 2022)

How Expressive are Transformers in Spectral Domain for Graphs? - Anson Bastos; Abhishek Nadgeri; Kuldeep Singh 001; Hiroki Kanezashi; Toyotaro Suzumura; Isaiah Onando Mulang' (Trans. Mach. Learn. Res., 2022)

Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation. - Xiaohang Xu 002; Toyotaro Suzumura; Jiawei Yong; Masatoshi Hanai; Chuang Yang 002; Hiroki Kanezashi; Renhe Jiang; Shintaro Fukushima (SIGSPATIAL/GIS, 2023)

LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs. - Akiko Aizawa; Eiji Aramaki; Bowen Chen; Fei Cheng 002; Hiroyuki Deguchi 002; Rintaro Enomoto; Kazuki Fujii; Kensuke Fukumoto; Takuya Fukushima; Namgi Han; Yuto Harada; Chikara Hashimoto; et al. (CoRR, 2024)

Multimodal Point-of-Interest Recommendation. - Yuta Kanzawa; Toyotaro Suzumura; Hiroki Kanezashi; Jiawei Yong; Shintaro Fukushima (CoRR, 2024)

Graph Adapter of EEG Foundation Models for Parameter Efficient Fine Tuning. - Toyotaro Suzumura; Hiroki Kanezashi; Shotaro Akahori (CoRR, 2024)

Graph-Enhanced EEG Foundation Model. - Limin Wang; Toyotaro Suzumura; Hiroki Kanezashi (CoRR, 2024)

LLM-Augmented Graph Neural Recommenders: Integrating User Reviews. - Hiroki Kanezashi; Toyotaro Suzumura; Cade Reid; Md. Mostafizur Rahman; Yu Hirate (CoRR, 2025)