Are Global Computing Systems Useful? Comparison of Client-server Global Computing Systems Ninf, NetSolve Versus CORB. - Toyotaro Suzumura; Takayuki Nakagawa; Satoshi Matsuoka; Hidemoto Nakada; Satoshi Sekiguchi (IPDPS, 2000)

A Jini-based computing portal system. - Toyotaro Suzumura; Satoshi Matsuoka; Hidemoto Nakada (SC, 2001)

The ninf portal: an automatic generation tool for grid portals. - Toyotaro Suzumura; Hidemoto Nakada; Masayuki Saito; Satoshi Matsuoka; Yoshio Tanaka; Satoshi Sekiguchi (Java Grande, 2002)

Ninf-G: A Reference Implementation of RPC-based Programming Middleware for Grid Computing. - Yoshio Tanaka; Hidemoto Nakada; Satoshi Sekiguchi; Toyotaro Suzumura; Satoshi Matsuoka (J. Grid Comput., 2003)

Grid Portal Interface for Interactive Use and Monitoring of High-Throughput Proteome Annotation. - Atif Shahab; Danny Chuon; Toyotaro Suzumura; Wilfred W. Li; Robert W. Byrnes; Kouji Tanaka; Larry Ang; Satoshi Matsuoka; Philip E. Bourne; Mark A. Miller; Peter W. Arzberger (LSGRID, 2004)

Optimizing Web Services Performance by Differential Deserialization. - Toyotaro Suzumura; Toshiro Takase; Michiaki Tatsubori (ICWS, 2005)

An adaptive, fast, and safe XML parser based on byte sequences memorization. - Toshiro Takase; Hisashi Miyashita; Toyotaro Suzumura; Michiaki Tatsubori (WWW, 2005)

Optimizing Differential XML Processing by Leveraging Schema and Statistics. - Toyotaro Suzumura; Satoshi Makino; Naohiko Uramoto (ICSOC, 2006)

Performance Comparison of Web Service Engines in PHP, Java and C. - Toyotaro Suzumura; Scott Trent; Michiaki Tatsubori; Akihiko Tozawa; Tamiya Onodera (ICWS, 2008)

Performance Comparison of PHP and JSP as Server-Side Scripting Languages. - Scott Trent; Michiaki Tatsubori; Toyotaro Suzumura; Akihiko Tozawa; Tamiya Onodera (Middleware, 2008)

Highly scalable web applications with zero-copy data transfer. - Toyotaro Suzumura; Michiaki Tatsubori; Scott Trent; Akihiko Tozawa; Tamiya Onodera (WWW, 2009)

HTML templates that fly: a template engine approach to automated offloading from server to client. - Michiaki Tatsubori; Toyotaro Suzumura (WWW, 2009)

Scalable performance of system S for extract-transform-load processing. - Toyotaro Suzumura; Toshiaki Yasue; Tamiya Onodera (SYSTOR, 2010)

Evaluation of a just-in-time compiler retrofitted for PHP. - Michiaki Tatsubori; Akihiko Tozawa; Toyotaro Suzumura; Scott Trent; Tamiya Onodera (VEE, 2010)

Elastic Stream Computing with Clouds. - Atsushi Ishii; Toyotaro Suzumura (IEEE CLOUD, 2011)

StreamWeb: Real-Time Web Monitoring with Stream Computing. - Toyotaro Suzumura; Tomoaki Oiki (ICWS, 2011)

A performance study on operator-based stream processing systems. - Miyuru Dayarathna; Souhei Takeno; Toyotaro Suzumura (IISWC, 2011)

Performance characteristics of Graph500 on large-scale distributed environment. - Toyotaro Suzumura; Koji Ueno; Hitoshi Sato; Katsuki Fujisawa; Satoshi Matsuoka (IISWC, 2011)

XGDBench: A benchmarking platform for graph stores in exascale clouds. - Miyuru Dayarathna; Toyotaro Suzumura (CloudCom, 2012)

A GPU Implementation of Generalized Graph Processing Algorithm GIM-V. - Koichi Shirahata; Hitoshi Sato; Toyotaro Suzumura; Satoshi Matsuoka (CLUSTER Workshops, 2012)

Highly Scalable Speech Processing on Data Stream Management System. - Shunsuke Nishii; Toyotaro Suzumura (DASFAA (2), 2012)

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

Scalable performance of ScaleGraph for large scale graph analysis. - Miyuru Dayarathna; Charuwat Houngkaew; Hidefumi Ogata; Toyotaro Suzumura (HiPC, 2012)

Towards highly scalable X10 based spectral clustering. - Hidefumi Ogata; Miyuru Dayarathna; Toyotaro Suzumura (HiPC, 2012)

GPU task parallelism for scalable anomaly detection. - Koji Ueno; Toyotaro Suzumura (HiPC, 2012)

Highly scalable graph search for the Graph500 benchmark. - Koji Ueno; Toyotaro Suzumura (HPDC, 2012)

A Highly Efficient Consolidated Platform for Stream Computing and Hadoop. - Hiroya Matsuura; Masaru Ganse; Toyotaro Suzumura (IPDPS Workshops, 2012)

2D Partitioning Based Graph Search for the Graph500 Benchmark. - Koji Ueno; Toyotaro Suzumura (IPDPS Workshops, 2012)

Hirundo: a mechanism for automated production of optimized data stream graphs. - Miyuru Dayarathna; Toyotaro Suzumura (ICPE, 2012)

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

A Scalable Implementation of a MapReduce-based Graph Processing Algorithm for Large-Scale Heterogeneous Supercomputers. - Koichi Shirahata; Hitoshi Sato; Toyotaro Suzumura; Satoshi Matsuoka (CCGRID, 2013)

A Mechanism for Stream Program Performance Recovery in Resource Limited Compute Clusters. - Miyuru Dayarathna; Toyotaro Suzumura (DASFAA (2), 2013)

X10-based distributed and parallel betweenness centrality and its application to social analytics. - Charuwat Houngkaew; Toyotaro Suzumura (HiPC, 2013)

Parallel distributed breadth first search on GPU. - Koji Ueno; Toyotaro Suzumura (HiPC, 2013)

A Performance Analysis of System S, S4, and Esper via Two Level Benchmarking. - Miyuru Dayarathna; Toyotaro Suzumura (QEST, 2013)

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

Towards highly scalable pregel-based graph processing platform with x10. - Nguyen Thien Bao; Toyotaro Suzumura (WWW (Companion Volume), 2013)

A first view of exedra: a domain-specific language for large graph analytics workflows. - Miyuru Dayarathna; Toyotaro Suzumura (WWW (Companion Volume), 2013)

How social network is evolving?: a preliminary study on billion-scale twitter network. - Masaru Watanabe; Toyotaro Suzumura (WWW (Companion Volume), 2013)

Automatic optimization of stream programs via source program operator graph transformations. - Miyuru Dayarathna; Toyotaro Suzumura (Distributed Parallel Databases, 2013)

Toward simulating entire cities with behavioral models of traffic. - Takayuki Osogami; Takashi Imamichi; Hideyuki Mizuta; Toyotaro Suzumura; Tsuyoshi Idé (IBM J. Res. Dev., 2013)

Towards Emulation of Large Scale Complex Network Workloads on Graph Databases with XGDBench. - Miyuru Dayarathna; Toyotaro Suzumura (BigData Congress, 2014)

An Adaptive VM Provisioning Method for Large-Scale Agent-Based Traffic Simulations on the Cloud. - Masatoshi Hanai; Toyotaro Suzumura; Anthony Ventresque; Kazuyuki Shudo (CloudCom, 2014)

Scalable Parallel Numerical CSP Solver. - Daisuke Ishii; Kazuki Yoshizoe; Toyotaro Suzumura (CP, 2014)

Towards a Framework for Adaptive Resource Provisioning in Large-Scale Distributed Agent-Based Simulation. - Masatoshi Hanai; Toyotaro Suzumura; Anthony Ventresque; Kazuyuki Shudo (Euro-Par Workshops (1), 2014)

Towards scalable distributed graph database engine for hybrid clouds. - Miyuru Dayarathna; Toyotaro Suzumura (DataCloud@SC, 2014)

Extreme big data processing in large-scale graph analytics and billion-scale social simulation. - Toyotaro Suzumura (ICPE, 2014)

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)

Towards scalable X10 based link prediction for large scale social networks. - Hidefumi Ogata; Toyotaro Suzumura (WWW (Companion Volume), 2014)

Towards large-scale graph stream processing platform. - Toyotaro Suzumura; Shunsuke Nishii; Masaru Ganse (WWW (Companion Volume), 2014)

Graph database benchmarking on cloud environments with XGDBench. - Miyuru Dayarathna; Toyotaro Suzumura (Autom. Softw. Eng., 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)

ScaleGraph: A high-performance library for billion-scale graph analytics. - Toyotaro Suzumura; Koji Ueno (IEEE BigData, 2015)

Efficient Multi-training Framework of Image Deep Learning on GPU Cluster. - Chun-Fu (Richard) Chen; Gwo Giun Chris Lee; Yinglong Xia; W. Sabrina Lin; Toyotaro Suzumura; Ching-Yung Lin (ISM, 2015)

Exact-Differential Large-Scale Traffic Simulation. - Masatoshi Hanai; Toyotaro Suzumura; Georgios Theodoropoulos 001; Kalyan S. Perumalla (SIGSIM-PADS, 2015)

Scalable parallel numerical constraint solver using global load balancing. - Daisuke Ishii; Kazuki Yoshizoe; Toyotaro Suzumura (X10@PLDI, 2015)

SparkBench - A Spark Performance Testing Suite. - Dakshi Agrawal; Ali Raza Butt; Kshitij A. Doshi; Josep Lluís Larriba-Pey; Min Li; Frederick R. Reiss; Francois Raab; Berni Schiefer; Toyotaro Suzumura; Yinglong Xia (TPCTC, 2015)

Towards large-scale what-if traffic simulation with exact-differential simulation. - Masatoshi Hanai; Toyotaro Suzumura; Georgios Theodoropoulos 001; Kalyan S. Perumalla (WSC, 2015)

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)

Acacia-RDF: An X10-Based Scalable Distributed RDF Graph Database Engine. - Miyuru Dayarathna; Isuru Herath; Yasima Dewmini; Gayan Mettananda; Sameera Nandasiri; Sanath Jayasena; Toyotaro Suzumura (CLOUD, 2016)

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

Extreme scale breadth-first search on supercomputers. - Koji Ueno; Toyotaro Suzumura; Naoya Maruyama; Katsuki Fujisawa; Satoshi Matsuoka (IEEE BigData, 2016)

On the Representativeness of Convolutional Neural Networks Layers. - Dario Garcia-Gasulla; Jonathan Moreno; Raúl Ramos-Pollán; Romel Casadiegos Barrios; Javier Béjar; Ulises Cortés; Eduard Ayguadé; Jesús Labarta; Toyotaro Suzumura (CCIA, 2016)

Towards Next-Generation Graph Processing and Management Platform. - Toyotaro Suzumura (HPGP@HPDC, 2016)

Introducing Acacia-RDF: An X10-Based Scalable Distributed RDF Graph Database Engine. - Miyuru Dayarathna; Isuru Herath; Yasima Dewmini; Gayan Mettananda; Sameera Nandasiri; Sanath Jayasena; Toyotaro Suzumura (IPDPS Workshops, 2016)

Hierarchical Hyperlink Prediction for the WWW. - Dario Garcia-Gasulla; Eduard Ayguadé; Jesús Labarta; Ulises Cortés; Toyotaro Suzumura (CoRR, 2016)

A generalized incremental bottom-up community detection framework for highly dynamic graphs. - Weiyi Liu; Toyotaro Suzumura; Lingli Chen; Guangmin Hu (IEEE BigData, 2017)

Scalable time-versioning support for property graph databases. - Warut D. Vijitbenjaronk; Jinho Lee; Toyotaro Suzumura; Gabriel Tanase (IEEE BigData, 2017)

Fluid Communities: A Competitive, Scalable and Diverse Community Detection Algorithm. - Ferran Parés; Dario Garcia-Gasulla; Armand Vilalta; Jonathan Moreno; Eduard Ayguadé; Jesús Labarta; Ulises Cortés; Toyotaro Suzumura (COMPLEX NETWORKS, 2017)

ORCHESTRA: An asynchronous wait-free distributed GVT algorithm. - Tommaso Tocci; Alessandro Pellegrini 001; Francesco Quaglia; Josep Casanovas-Garcia; Toyotaro Suzumura (DS-RT, 2017)

An X10-Based Distributed Streaming Graph Database Engine. - Miyuru Dayarathna; Sathya Bandara; Nandula Jayamaha; Mahen Herath; Achala Madhushan; Sanath Jayasena; Toyotaro Suzumura (HiPC, 2017)

Principled Multilayer Network Embedding. - Weiyi Liu; Pin-Yu Chen; Sailung Yeung; Toyotaro Suzumura; Lingli Chen (ICDM Workshops, 2017)

Building Graph Representations of Deep Vector Embeddings. - Dario Garcia-Gasulla; Armand Vilalta; Ferran Parés; Jonathan Moreno; Eduard Ayguadé; Jesús Labarta; Ulises Cortés; Toyotaro Suzumura (SemDeep@IWCS, 2017)

Full-Network Embedding in a Multimodal Embedding Pipeline. - Armand Vilalta; Dario Garcia-Gasulla; Ferran Parés; Jonathan Moreno; Eduard Ayguadé; Jesús Labarta; Ulises Cortés; Toyotaro Suzumura (SemDeep@IWCS, 2017)

Parallel continuous collision detection for high-performance GPU cluster. - Peng Du; Elvis S. Liu; Toyotaro Suzumura (I3D, 2017)

A visual embedding for the unsupervised extraction of abstract semantics. - Dario Garcia-Gasulla; Eduard Ayguadé; Jesús Labarta; Javier Béjar; Ulises Cortés; Toyotaro Suzumura; R. Chen (Cogn. Syst. Res., 2017)

An Out-of-the-box Full-network Embedding for Convolutional Neural Networks. - Dario Garcia-Gasulla; Armand Vilalta; Ferran Parés; Jonathan Moreno; Eduard Ayguadé; Jesús Labarta; Ulises Cortés; Toyotaro Suzumura (CoRR, 2017)

Medical Text Classification using Convolutional Neural Networks. - Mark Hughes; Irene Li; Spyros Kotoulas; Toyotaro Suzumura (CoRR, 2017)

Can GAN Learn Topological Features of a Graph? - Weiyi Liu; Pin-Yu Chen; Hal James Cooper; Min Hwan Oh; Sailung Yeung; Toyotaro Suzumura (CoRR, 2017)

Fluid Communities: A Community Detection Algorithm. - Ferran Parés; Dario Garcia-Gasulla; Armand Vilalta; Jonathan Moreno; Eduard Ayguadé; Jesús Labarta; Ulises Cortés; Toyotaro Suzumura (CoRR, 2017)

Full-Network Embedding in a Multimodal Embedding Pipeline. - Armand Vilalta; Dario Garcia-Gasulla; Ferran Parés; Eduard Ayguadé; Jesús Labarta; Ulises Cortés; Toyotaro Suzumura (CoRR, 2017)

Efficient Breadth-First Search on Massively Parallel and Distributed-Memory Machines. - Koji Ueno; Toyotaro Suzumura; Naoya Maruyama; Katsuki Fujisawa; Satoshi Matsuoka (Data Sci. Eng., 2017)

High-Performance Graph Data Management and Mining in Cloud Environments with X10. - Miyuru Dayarathna; Toyotaro Suzumura (Cloud Computing, 2nd Ed., 2017)

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

An Out-of-the-box Full-Network Embedding for Convolutional Neural Networks. - Dario Garcia-Gasulla; Armand Vilalta; Ferran Parés; Eduard Ayguadé; Jesús Labarta; Ulises Cortés; Toyotaro Suzumura (ICBK, 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 attribute-aware network embedding with locality. - Weiyi Liu; Zhining Liu 001; Toyotaro Suzumura; Guangmin Hu (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)

On the Behavior of Convolutional Nets for Feature Extraction. - Dario Garcia-Gasulla; Ferran Parés; Armand Vilalta; Jonathan Moreno; Eduard Ayguadé; Jesús Labarta; Ulises Cortés; Toyotaro Suzumura (J. Artif. Intell. Res., 2018)

Scalable Graph Learning for Finance. - Toyotaro Suzumura (SERVICES, 2019)

Learning Graph Topological Features via GAN. - Weiyi Liu; Pin-Yu Chen; Fucai Yu; Toyotaro Suzumura; Guangmin Hu (IEEE Access, 2019)

Corrections to "Learning Graph Topological Features via GAN". - Weiyi Liu; Pin-Yu Chen; Fucai Yu; Toyotaro Suzumura; Guangmin Hu; Hal James Cooper; Min-hwan Oh; Sailung Yeung (IEEE Access, 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; Charles E. Leiserson (CoRR, 2019)

Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis. - Daiki Matsunaga; Toyotaro Suzumura; Toshihiro Takahashi (CoRR, 2019)

Towards Federated Graph Learning for Collaborative Financial Crimes Detection. - Toyotaro Suzumura; Yi Zhou 015; Nathalie Barcardo; Guangnan Ye; Keith Houck; Ryo Kawahara; Ali Anwar 001; Lucia Larise Stavarache; Daniel Klyashtorny; Heiko Ludwig; Kumar Bhaskaran (CoRR, 2019)

Exploring Multi-Banking Customer-to-Customer Relations in AML Context with Poincaré Embeddings. - Lucia Larise Stavarache; Donatas Narbutis; Toyotaro Suzumura; Ray Harishankar; Augustas Zaltauskas (CoRR, 2019)

A scalable attribute-aware network embedding system. - Weiyi Liu; Zhining Liu 001; Fucai Yu; Pin-Yu Chen; Toyotaro Suzumura; Guangmin Hu (Neurocomputing, 2019)

Distributed Edge Partitioning for Trillion-edge Graphs. - Masatoshi Hanai; Toyotaro Suzumura; Wen Jun Tan; Elvis S. Liu; Georgios Theodoropoulos 001; Wentong Cai 001 (Proc. VLDB Endow., 2019)

Exact-Differential Simulation: Differential Processing of Large-Scale Discrete Event Simulations. - Masatoshi Hanai; Toyotaro Suzumura; Elvis S. Liu; Georgios Theodoropoulos 001; Kalyan S. Perumalla (ACM Trans. Model. Comput. Simul., 2019)

Scalable Graph Convolutional Network based Link Prediction on a Distributed Graph Database Server. - Anuradha Karunarathna; Dinika Senarath; Shalika Madhushanki; Chinthaka Weerakkody; Miyuru Dayarathna; Sanath Jayasena; Toyotaro Suzumura (CLOUD, 2020)

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)

Memory Efficient Graph Convolutional Network based Distributed Link Prediction. - Damitha Senevirathne; Isuru Wijesiri; Suchitha Dehigaspitiya; Miyuru Dayarathna; Sanath Jayasena; Toyotaro Suzumura (IEEE BigData, 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)

What Are We Depressed About When We Talk About COVID-19: Mental Health Analysis on Tweets Using Natural Language Processing. - Irene Li; Yixin Li; Tianxiao Li; Sergio Álvarez-Napagao; Dario Garcia-Gasulla; Toyotaro Suzumura (SGAI Conf., 2020)

Multiple stream job performance optimization with source operator graph transformations. - Miyuru Dayarathna; Toyotaro Suzumura (Concurr. Comput. Pract. Exp., 2020)

Benchmarking Graph Data Management and Processing Systems: A Survey. - Miyuru Dayarathna; Toyotaro Suzumura (CoRR, 2020)

Efficient scaling of dynamic graph neural networks. - Venkatesan T. Chakaravarthy; Shivmaran S. Pandian; Saurabh Raje; Yogish Sabharwal; Toyotaro Suzumura; Shashanka Ubaru (SC, 2021)

DynGraphTrans: Dynamic Graph Embedding via Modified Universal Transformer Networks for Financial Transaction Data. - Shilei Zhang; Toyotaro Suzumura; Li Zhang (SMDS, 2021)

Time-Efficient and High-Quality Graph Partitioning for Graph Dynamic Scaling. - Masatoshi Hanai; Nikos Tziritas; Toyotaro Suzumura; Wentong Cai 001; Georgios Theodoropoulos 001 (CoRR, 2021)

Heterogeneous Graph Neural Networks for Multi-label Text Classification. - Irene Li; Tianxiao Li; Yixin Li; Ruihai Dong; Toyotaro Suzumura (CoRR, 2021)

Finding All Bounded-Length Simple Cycles in a Directed Graph. - Anshul Gupta; Toyotaro Suzumura (CoRR, 2021)

Comparative Analysis of Geolocation Information through Mobile-Devices under Different COVID-19 Mobility Restriction Patterns in Spain. - Raquel Pérez-Arnal; David V. Conesa; Sergio Álvarez-Napagao; Toyotaro Suzumura; Martí Català; Enrique Alvarez-Lacalle; Dario Garcia-Gasulla (ISPRS Int. J. Geo Inf., 2021)

Federated Learning for Collaborative Financial Crimes Detection. - Toyotaro Suzumura; Yi Zhou 015; Ryo Kawahara; Nathalie Baracaldo; Heiko Ludwig (Federated Learning, 2022)

Guaranteeing Service Level Agreements for Triangle Counting via Observation-based Admission Control Algorithm. - Chinthaka Weerakkody; Miyuru Dayarathna; Sanath Jayasena; Toyotaro Suzumura (CLOUD, 2022)

mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. - Toyotaro Suzumura; Akiyoshi Sugiki; Hiroyuki Takizawa; Akira Imakura; Hiroshi Nakamura; Kenjiro Taura; Tomohiro Kudoh; Toshihiro Hanawa; Yuji Sekiya; Hill Hiroki Kobayashi; Yohei Kuga; Ryo Nakamura; et al. (DASC/PiCom/CBDCom/CyberSciTech, 2022)

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)

mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. - Toyotaro Suzumura; Akiyoshi Sugiki; Hiroyuki Takizawa; Akira Imakura; Hiroshi Nakamura; Kenjiro Taura; Tomohiro Kudoh; Toshihiro Hanawa; Yuji Sekiya; Hill Hiroki Kobayashi; Shin Matsushima; Yohei Kuga; et al. (CoRR, 2022)

KQGC: Knowledge Graph Embedding with Smoothing Effects of Graph Convolutions for Recommendation. - Daisuke Kikuta; Toyotaro Suzumura; Md. Mostafizur Rahman; Yu Hirate; Satyen Abrol; Manoj Kondapaka; Takuma Ebisu; Pablo Loyola (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)

Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions. - Anson Bastos; Abhishek Nadgeri; Kuldeep Singh 001; Toyotaro Suzumura; Manish Singh 002 (AAAI, 2023)

Spatio-Temporal Meta-Graph Learning for Traffic Forecasting. - Renhe Jiang; Zhaonan Wang 001; Jiawei Yong; Puneet Jeph; Quanjun Chen; Yasumasa Kobayashi; Xuan Song 001; Shintaro Fukushima; Toyotaro Suzumura (AAAI, 2023)

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)

✨ Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations. - Boming Yang; Dairui Liu; Toyotaro Suzumura; Ruihai Dong; Irene Li (RecSys, 2023)

Exploring 360-Degree View of Customers for Lookalike Modeling. - Md. Mostafizur Rahman; Daisuke Kikuta; Satyen Abrol; Yu Hirate; Toyotaro Suzumura; Pablo Loyola; Takuma Ebisu; Manoj Kondapaka (SIGIR, 2023)

Cloud Data Acquisition from Shared-Use Facilities in A University-Scale Laboratory Information Management System. - Masatoshi Hanai; Mitsuaki Kawamura; Ryo Ishikawa; Toyotaro Suzumura; Kenjiro Taura (UCC, 2023)

Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods? - Anson Bastos; Kuldeep Singh 001; Abhishek Nadgeri; Johannes Hoffart; Manish Singh 002; Toyotaro Suzumura (WWW, 2023)

NNKGC: Improving Knowledge Graph Completion with Node Neighborhoods. - Zihui Li; Boming Yang; Toyotaro Suzumura (CoRR, 2023)

Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations. - Boming Yang; Dairui Liu; Toyotaro Suzumura; Ruihai Dong; Irene Li (CoRR, 2023)

Is Self-Supervised Pretraining Good for Extrapolation in Molecular Property Prediction? - Shun Takashige; Masatoshi Hanai; Toyotaro Suzumura; Limin Wang; Kenjiro Taura (CoRR, 2023)

On Data Imbalance in Molecular Property Prediction with Pre-training. - Limin Wang; Masatoshi Hanai; Toyotaro Suzumura; Shun Takashige; Kenjiro Taura (CoRR, 2023)

ARIM-mdx Data System: Towards a Nationwide Data Platform for Materials Science. - Masatoshi Hanai; Ryo Ishikawa; Mitsuaki Kawamura; Masato Ohnishi; Norio Takenaka; Kou Nakamura; Daiju Matsumura; Seiji Fujikawa; Hiroki Sakamoto; Yukinori Ochiai; Tetsuo Okane; Shin-Ichiro Kuroki; et al. (IEEE Big Data, 2024)

Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs. - Anson Bastos; Kuldeep Singh 001; Abhishek Nadgeri; Manish Singh 002; Toyotaro Suzumura (ICLR, 2024)

Graph-Based Audience Expansion Model for Marketing Campaigns. - Md. Mostafizur Rahman; Daisuke Kikuta; Yu Hirate; Toyotaro Suzumura (SIGIR, 2024)

Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference. - Christopher Wolters; Xiaoxuan Yang 001; Ulf Schlichtmann; Toyotaro Suzumura (CoRR, 2024)

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)

A Look Into News Avoidance Through AWRS: An Avoidance-Aware Recommender System. - Igor L. R. Azevedo; Toyotaro Suzumura; Yuichiro Yasui (CoRR, 2024)

Popular News Always Compete for the User's Attention! POPK: Mitigating Popularity Bias via a Temporal-Counterfactual. - Igor L. R. Azevedo; Toyotaro Suzumura; Yuichiro Yasui (CoRR, 2024)

ARIM-mdx Data System: Towards a Nationwide Data Platform for Materials Science. - Masatoshi Hanai; Ryo Ishikawa; Mitsuaki Kawamura; Masato Ohnishi; Norio Takenaka; Kou Nakamura; Daiju Matsumura; Seiji Fujikawa; Hiroki Sakamoto; Yukinori Ochiai; Tetsuo Okane; Shin-Ichiro Kuroki; et al. (CoRR, 2024)

A Prompting-Based Representation Learning Method for Recommendation with Large Language Models. - Junyi Chen; Toyotaro Suzumura (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)

From Votes to Volatility Predicting the Stock Market on Election Day. - Igor L. R. Azevedo; Toyotaro Suzumura (CoRR, 2024)

A Look Into News Avoidance Through AWRS: An Avoidance-Aware Recommender System. - Igor L. R. Azevedo; Toyotaro Suzumura; Yuichiro Yasui (SDM, 2025)

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization. - Pablo Loyola; Kento Hasegawa; Andres Hoyos-Idobro; Kazuo Ono; Toyotaro Suzumura; Yu Hirate; Masanao Yamaoka (CoRR, 2025)

ContinuouSP: Generative Model for Crystal Structure Prediction with Invariance and Continuity. - Yuji Tone; Masatoshi Hanai; Mitsuaki Kawamura; Kenjiro Taura; Toyotaro Suzumura (CoRR, 2025)

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