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2020 – today
- 2024
[c92]Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Manish Singh, Toyotaro Suzumura:
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs. ICLR 2024- [c91]Md. Mostafizur Rahman
, Daisuke Kikuta, Yu Hirate, Toyotaro Suzumura:
Graph-Based Audience Expansion Model for Marketing Campaigns. SIGIR 2024: 2970-2975 - [e5]Toyotaro Suzumura, Mayumi Bono:
New Frontiers in Artificial Intelligence - JSAI International Symposium on Artificial Intelligence, JSAI-isAI 2024, Hamamatsu, Japan, May 28-29, 2024, Proceedings. Lecture Notes in Computer Science 14741, Springer 2024, ISBN 978-981-97-3075-9 [contents] - [i50]Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Manish Singh, Toyotaro Suzumura:
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs. CoRR abs/2402.16078 (2024) - [i49]Christopher Wolters, Xiaoxuan Yang, Ulf Schlichtmann, Toyotaro Suzumura:
Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference. CoRR abs/2406.08413 (2024) - [i48]Akiko Aizawa, Eiji Aramaki, Bowen Chen, Fei Cheng, Hiroyuki Deguchi, Rintaro Enomoto, Kazuki Fujii, Kensuke Fukumoto, Takuya Fukushima, Namgi Han, Yuto Harada, Chikara Hashimoto, Tatsuya Hiraoka, Shohei Hisada, Sosuke Hosokawa, Lu Jie, Keisuke Kamata, Teruhito Kanazawa, Hiroki Kanezashi, Hiroshi Kataoka, Satoru Katsumata, Daisuke Kawahara, Seiya Kawano, Atsushi Keyaki, Keisuke Kiryu, Hirokazu Kiyomaru, Takashi Kodama, Takahiro Kubo, Yohei Kuga, Ryoma Kumon, Shuhei Kurita, Sadao Kurohashi, Conglong Li, Taiki Maekawa, Hiroshi Matsuda, Yusuke Miyao, Kentaro Mizuki, Sakae Mizuki, Yugo Murawaki, Ryo Nakamura, Taishi Nakamura, Kouta Nakayama, Tomoka Nakazato, Takuro Niitsuma, Jiro Nishitoba, Yusuke Oda, Hayato Ogawa, Takumi Okamoto, Naoaki Okazaki, Yohei Oseki, Shintaro Ozaki, Koki Ryu, Rafal Rzepka, Keisuke Sakaguchi, Shota Sasaki, Satoshi Sekine, Kohei Suda, Saku Sugawara, Issa Sugiura, Hiroaki Sugiyama, Hisami Suzuki, Jun Suzuki, Toyotaro Suzumura, Kensuke Tachibana, Yu Takagi, Kyosuke Takami, Koichi Takeda, Masashi Takeshita, Masahiro Tanaka, Kenjiro Taura, Arseny Tolmachev, Nobuhiro Ueda, Zhen Wan, Shuntaro Yada, Sakiko Yahata, Yuya Yamamoto, Yusuke Yamauchi, Hitomi Yanaka, Rio Yokota, Koichiro Yoshino:
LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs. CoRR abs/2407.03963 (2024) - [i47]Igor L. R. Azevedo, Toyotaro Suzumura, Yuichiro Yasui:
A Look Into News Avoidance Through AWRS: An Avoidance-Aware Recommender System. CoRR abs/2407.09137 (2024) - [i46]Igor L. R. Azevedo, Toyotaro Suzumura, Yuichiro Yasui:
Popular News Always Compete for the User's Attention! POPK: Mitigating Popularity Bias via a Temporal-Counterfactual. CoRR abs/2407.09939 (2024) - [i45]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, Atsuo Yamada, Toyotaro Suzumura, Junichiro Shiomi, Kenjiro Taura, Yoshio Mita, Naoya Shibata, Yuichi Ikuhara:
ARIM-mdx Data System: Towards a Nationwide Data Platform for Materials Science. CoRR abs/2409.06734 (2024) - [i44]Junyi Chen, Toyotaro Suzumura:
A Prompting-Based Representation Learning Method for Recommendation with Large Language Models. CoRR abs/2409.16674 (2024) - [i43]Yuta Kanzawa, Toyotaro Suzumura, Hiroki Kanezashi, Jiawei Yong, Shintaro Fukushima:
Multimodal Point-of-Interest Recommendation. CoRR abs/2410.03265 (2024) - [i42]Toyotaro Suzumura, Hiroki Kanezashi, Shotaro Akahori:
Graph Adapter of EEG Foundation Models for Parameter Efficient Fine Tuning. CoRR abs/2411.16155 (2024) - [i41]Limin Wang, Toyotaro Suzumura, Hiroki Kanezashi:
Graph-Enhanced EEG Foundation Model. CoRR abs/2411.19507 (2024) - 2023
- [c90]Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Toyotaro Suzumura, Manish Singh:
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions. AAAI 2023: 6779-6787 - [c89]Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura:
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting. AAAI 2023: 8078-8086 - [c88]Xiaohang Xu, Toyotaro Suzumura, Jiawei Yong, Masatoshi Hanai, Chuang Yang, Hiroki Kanezashi, Renhe Jiang, Shintaro Fukushima:
Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation. SIGSPATIAL/GIS 2023: 94:1-94:10 - [c87]Boming Yang, Dairui Liu, Toyotaro Suzumura, Ruihai Dong, Irene Li:
✨ Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations. RecSys 2023: 24-34 - [c86]Md. Mostafizur Rahman, Daisuke Kikuta, Satyen Abrol, Yu Hirate, Toyotaro Suzumura, Pablo Loyola, Takuma Ebisu, Manoj Kondapaka:
Exploring 360-Degree View of Customers for Lookalike Modeling. SIGIR 2023: 3400-3404 - [c85]Masatoshi Hanai, Mitsuaki Kawamura, Ryo Ishikawa, Toyotaro Suzumura, Kenjiro Taura:
Cloud Data Acquisition from Shared-Use Facilities in A University-Scale Laboratory Information Management System. UCC 2023: 21 - [c84]Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Johannes Hoffart, Manish Singh, Toyotaro Suzumura:
Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods? WWW 2023: 2455-2466 - [i40]Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Johannes Hoffart, Toyotaro Suzumura, Manish Singh:
Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods? CoRR abs/2301.12929 (2023) - [i39]Zihui Li, Boming Yang, Toyotaro Suzumura:
NNKGC: Improving Knowledge Graph Completion with Node Neighborhoods. CoRR abs/2302.06132 (2023) - [i38]Md. Mostafizur Rahman, Daisuke Kikuta, Satyen Abrol, Yu Hirate, Toyotaro Suzumura, Pablo Loyola, Takuma Ebisu, Manoj Kondapaka:
Exploring 360-Degree View of Customers for Lookalike Modeling. CoRR abs/2304.09105 (2023) - [i37]Boming Yang, Dairui Liu, Toyotaro Suzumura, Ruihai Dong, Irene Li:
Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations. CoRR abs/2307.06576 (2023) - [i36]Shun Takashige, Masatoshi Hanai, Toyotaro Suzumura, Limin Wang, Kenjiro Taura:
Is Self-Supervised Pretraining Good for Extrapolation in Molecular Property Prediction? CoRR abs/2308.08129 (2023) - [i35]Limin Wang, Masatoshi Hanai, Toyotaro Suzumura, Shun Takashige, Kenjiro Taura:
On Data Imbalance in Molecular Property Prediction with Pre-training. CoRR abs/2308.08934 (2023) - [i34]Xiaohang Xu, Toyotaro Suzumura, Jiawei Yong, Masatoshi Hanai, Chuang Yang, Hiroki Kanezashi, Renhe Jiang, Shintaro Fukushima:
Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation. CoRR abs/2310.01224 (2023) - 2022
- [j16]Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Hiroki Kanezashi, Toyotaro Suzumura, Isaiah Onando Mulang':
How Expressive are Transformers in Spectral Domain for Graphs? Trans. Mach. Learn. Res. 2022 (2022) - [c83]Chinthaka Weerakkody, Miyuru Dayarathna, Sanath Jayasena, Toyotaro Suzumura:
Guaranteeing Service Level Agreements for Triangle Counting via Observation-based Admission Control Algorithm. CLOUD 2022: 283-288 - [c82]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, Renhe Jiang, Junya Kawase, Masatoshi Hanai, Hiroshi Miyazaki, Tsutomu Ishizaki, Daisuké Shimotoku, Daisuke Miyamoto, Kento Aida, Atsuko Takefusa, Takashi Kurimoto, Koji Sasayama, Naoya Kitagawa, Ikki Fujiwara, Yusuke Tanimura, Takayuki Aoki, Toshio Endo, Satoshi Ohshima, Keiichiro Fukazawa, Susumu Date, Toshihiro Uchibayashi:
mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-7 - [p2]Toyotaro Suzumura, Yi Zhou, Ryo Kawahara, Nathalie Baracaldo, Heiko Ludwig:
Federated Learning for Collaborative Financial Crimes Detection. Federated Learning 2022: 455-466 - [i33]Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Hiroki Kanezashi, Toyotaro Suzumura, Isaiah Onando Mulang':
Investigating Expressiveness of Transformer in Spectral Domain for Graphs. CoRR abs/2201.09332 (2022) - [i32]Hiroki Kanezashi, Toyotaro Suzumura, Xin Liu, Takahiro Hirofuchi:
Ethereum Fraud Detection with Heterogeneous Graph Neural Networks. CoRR abs/2203.12363 (2022) - [i31]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, Ryo Nakamura, Renhe Jiang, Junya Kawase, Masatoshi Hanai, Hiroshi Miyazaki, Tsutomu Ishizaki, Daisuké Shimotoku, Daisuke Miyamoto, Kento Aida, Atsuko Takefusa, Takashi Kurimoto, Koji Sasayama, Naoya Kitagawa, Ikki Fujiwara, Yusuke Tanimura, Takayuki Aoki, Toshio Endo, Satoshi Ohshima, Keiichiro Fukazawa, Susumu Date, Toshihiro Uchibayashi:
mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. CoRR abs/2203.14188 (2022) - [i30]Daisuke Kikuta, Toyotaro Suzumura, Md. Mostafizur Rahman, Yu Hirate, Satyen Abrol, Manoj Kondapaka, Takuma Ebisu, Pablo Loyola:
KQGC: Knowledge Graph Embedding with Smoothing Effects of Graph Convolutions for Recommendation. CoRR abs/2205.12102 (2022) - [i29]Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Toyotaro Suzumura, Manish Singh:
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions. CoRR abs/2211.11979 (2022) - [i28]Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura:
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting. CoRR abs/2211.14701 (2022) - 2021
- [j15]Raquel Pérez-Arnal, David V. Conesa, Sergio Álvarez-Napagao, Toyotaro Suzumura, Martí Català, Enrique Alvarez-Lacalle, Dario Garcia-Gasulla:
Comparative Analysis of Geolocation Information through Mobile-Devices under Different COVID-19 Mobility Restriction Patterns in Spain. ISPRS Int. J. Geo Inf. 10(2): 73 (2021) - [c81]Venkatesan T. Chakaravarthy, Shivmaran S. Pandian, Saurabh Raje, Yogish Sabharwal, Toyotaro Suzumura, Shashanka Ubaru:
Efficient scaling of dynamic graph neural networks. SC 2021: 77 - [c80]Shilei Zhang, Toyotaro Suzumura, Li Zhang:
DynGraphTrans: Dynamic Graph Embedding via Modified Universal Transformer Networks for Financial Transaction Data. SMDS 2021: 184-191 - [i27]Masatoshi Hanai, Nikos Tziritas, Toyotaro Suzumura, Wentong Cai, Georgios Theodoropoulos:
Time-Efficient and High-Quality Graph Partitioning for Graph Dynamic Scaling. CoRR abs/2101.07026 (2021) - [i26]Irene Li, Tianxiao Li, Yixin Li, Ruihai Dong, Toyotaro Suzumura:
Heterogeneous Graph Neural Networks for Multi-label Text Classification. CoRR abs/2103.14620 (2021) - [i25]Anshul Gupta, Toyotaro Suzumura:
Finding All Bounded-Length Simple Cycles in a Directed Graph. CoRR abs/2105.10094 (2021) - [i24]Venkatesan T. Chakaravarthy, Shivmaran S. Pandian, Saurabh Raje, Yogish Sabharwal, Toyotaro Suzumura, Shashanka Ubaru:
Efficient Scaling of Dynamic Graph Neural Networks. CoRR abs/2109.07893 (2021) - 2020
- [j14]Miyuru Dayarathna, Toyotaro Suzumura:
Multiple stream job performance optimization with source operator graph transformations. Concurr. Comput. Pract. Exp. 32(16) (2020) - [c79]Anuradha Karunarathna, Dinika Senarath, Shalika Madhushanki, Chinthaka Weerakkody, Miyuru Dayarathna, Sanath Jayasena, Toyotaro Suzumura:
Scalable Graph Convolutional Network based Link Prediction on a Distributed Graph Database Server. CLOUD 2020: 107-115 - [c78]Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson:
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. AAAI 2020: 5363-5370 - [c77]Toyotaro Suzumura, Hiroki Kanezashi, Mishal Dholakia, Euma Ishii, Sergio Álvarez-Napagao, Raquel Pérez-Arnal, Dario Garcia-Gasulla:
The Impact of COVID-19 on Flight Networks. IEEE BigData 2020: 2443-2452 - [c76]Damitha Senevirathne, Isuru Wijesiri, Suchitha Dehigaspitiya, Miyuru Dayarathna, Sanath Jayasena, Toyotaro Suzumura:
Memory Efficient Graph Convolutional Network based Distributed Link Prediction. IEEE BigData 2020: 2977-2986 - [c75]Irene Li, Yixin Li, Tianxiao Li, Sergio Álvarez-Napagao, Dario Garcia-Gasulla, Toyotaro Suzumura:
What Are We Depressed About When We Talk About COVID-19: Mental Health Analysis on Tweets Using Natural Language Processing. SGAI Conf. 2020: 358-370 - [i23]Miyuru Dayarathna, Toyotaro Suzumura:
Benchmarking Graph Data Management and Processing Systems: A Survey. CoRR abs/2005.12873 (2020) - [i22]Toyotaro Suzumura, Hiroki Kanezashi, Mishal Dholakia, Euma Ishii, Sergio Álvarez-Napagao, Raquel Pérez-Arnal, Dario Garcia-Gasulla:
The Impact of COVID-19 on Flight Networks. CoRR abs/2006.02950 (2020)
2010 – 2019
- 2019
- [j13]Weiyi Liu, Pin-Yu Chen, Fucai Yu, Toyotaro Suzumura, Guangmin Hu:
Learning Graph Topological Features via GAN. IEEE Access 7: 21834-21843 (2019) - [j12]Weiyi Liu, Pin-Yu Chen, Fucai Yu, Toyotaro Suzumura, Guangmin Hu, Hal James Cooper, Min-hwan Oh, Sailung Yeung:
Corrections to "Learning Graph Topological Features via GAN". IEEE Access 7: 133600-133601 (2019) - [j11]Weiyi Liu, Zhining Liu, Fucai Yu, Pin-Yu Chen, Toyotaro Suzumura, Guangmin Hu:
A scalable attribute-aware network embedding system. Neurocomputing 339: 279-291 (2019) - [j10]Masatoshi Hanai, Toyotaro Suzumura, Wen Jun Tan, Elvis S. Liu, Georgios Theodoropoulos, Wentong Cai:
Distributed Edge Partitioning for Trillion-edge Graphs. Proc. VLDB Endow. 12(13): 2379-2392 (2019) - [j9]Masatoshi Hanai, Toyotaro Suzumura, Elvis S. Liu, Georgios Theodoropoulos, Kalyan S. Perumalla:
Exact-Differential Simulation: Differential Processing of Large-Scale Discrete Event Simulations. ACM Trans. Model. Comput. Simul. 29(3): 18:1-18:25 (2019) - [c74]Toyotaro Suzumura:
Scalable Graph Learning for Finance. SERVICES 2019: 109 - [i21]Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson:
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. CoRR abs/1902.10191 (2019) - [i20]Masatoshi Hanai, Toyotaro Suzumura, Wen Jun Tan, Elvis S. Liu, Georgios Theodoropoulos, Wentong Cai:
Distributed Edge Partitioning for Trillion-edge Graphs. CoRR abs/1908.05855 (2019) - [i19]Daiki Matsunaga, Toyotaro Suzumura, Toshihiro Takahashi:
Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis. CoRR abs/1909.10660 (2019) - [i18]Toyotaro Suzumura, Yi Zhou, Nathalie Barcardo, Guangnan Ye, Keith Houck, Ryo Kawahara, Ali Anwar, Lucia Larise Stavarache, Daniel Klyashtorny, Heiko Ludwig, Kumar Bhaskaran:
Towards Federated Graph Learning for Collaborative Financial Crimes Detection. CoRR abs/1909.12946 (2019) - [i17]Lucia Larise Stavarache, Donatas Narbutis, Toyotaro Suzumura, Ray Harishankar, Augustas Zaltauskas:
Exploring Multi-Banking Customer-to-Customer Relations in AML Context with Poincaré Embeddings. CoRR abs/1912.07701 (2019) - 2018
- [j8]Dario Garcia-Gasulla, Ferran Parés, Armand Vilalta, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
On the Behavior of Convolutional Nets for Feature Extraction. J. Artif. Intell. Res. 61: 563-592 (2018) - [c73]Hiroki Kanezashi, Toyotaro Suzumura, Dario Garcia-Gasulla, Min-hwan Oh, Satoshi Matsuoka:
Adaptive Pattern Matching with Reinforcement Learning for Dynamic Graphs. HiPC 2018: 92-101 - [c72]Dario Garcia-Gasulla, Armand Vilalta, Ferran Parés, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
An Out-of-the-box Full-Network Embedding for Convolutional Neural Networks. ICBK 2018: 168-175 - [e4]Jing Xiao, Zhi-Hong Mao, Toyotaro Suzumura, Liang-Jie Zhang:
Cognitive Computing - ICCC 2018 - Second International Conference, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25-30, 2018, Proceedings. Lecture Notes in Computer Science 10971, Springer 2018, ISBN 978-3-319-94306-0 [contents] - [i16]Gabriel Tanase, Toyotaro Suzumura, Jinho Lee, Chun-Fu Chen, Jason Crawford, Hiroki Kanezashi, Song Zhang, Warut D. Vijitbenjaronk:
System G Distributed Graph Database. CoRR abs/1802.03057 (2018) - [i15]Weiyi Liu, Zhining Liu, Toyotaro Suzumura, Guangmin Hu:
Scalable attribute-aware network embedding with locality. CoRR abs/1804.07152 (2018) - [i14]Hiroki Kanezashi, Toyotaro Suzumura:
An incremental local-first community detection method for dynamic graphs. CoRR abs/1808.06251 (2018) - [i13]Mark Weber, Jie Chen, Toyotaro Suzumura, Aldo Pareja, Tengfei Ma, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson, Tao B. Schardl:
Scalable Graph Learning for Anti-Money Laundering: A First Look. CoRR abs/1812.00076 (2018) - [i12]Hiroki Kanezashi, Toyotaro Suzumura, Dario Garcia-Gasulla, Min-hwan Oh, Satoshi Matsuoka:
Adaptive Pattern Matching with Reinforcement Learning for Dynamic Graphs. CoRR abs/1812.10321 (2018) - 2017
- [j7]Dario Garcia-Gasulla, Eduard Ayguadé, Jesús Labarta, Javier Béjar, Ulises Cortés, Toyotaro Suzumura, R. Chen:
A visual embedding for the unsupervised extraction of abstract semantics. Cogn. Syst. Res. 42: 73-81 (2017) - [j6]Koji Ueno, Toyotaro Suzumura, Naoya Maruyama, Katsuki Fujisawa, Satoshi Matsuoka:
Efficient Breadth-First Search on Massively Parallel and Distributed-Memory Machines. Data Sci. Eng. 2(1): 22-35 (2017) - [c71]Warut D. Vijitbenjaronk, Jinho Lee, Toyotaro Suzumura, Gabriel Tanase:
Scalable time-versioning support for property graph databases. IEEE BigData 2017: 1580-1589 - [c70]Weiyi Liu, Toyotaro Suzumura, Lingli Chen, Guangmin Hu:
A generalized incremental bottom-up community detection framework for highly dynamic graphs. IEEE BigData 2017: 3342-3351 - [c69]Ferran Parés, Dario Garcia-Gasulla, Armand Vilalta, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
Fluid Communities: A Competitive, Scalable and Diverse Community Detection Algorithm. COMPLEX NETWORKS 2017: 229-240 - [c68]Tommaso Tocci, Alessandro Pellegrini, Francesco Quaglia, Josep Casanovas-Garcia, Toyotaro Suzumura:
ORCHESTRA: An asynchronous wait-free distributed GVT algorithm. DS-RT 2017: 51-58 - [c67]Miyuru Dayarathna, Sathya Bandara, Nandula Jayamaha, Mahen Herath, Achala Madhushan, Sanath Jayasena, Toyotaro Suzumura:
An X10-Based Distributed Streaming Graph Database Engine. HiPC 2017: 243-252 - [c66]Weiyi Liu, Pin-Yu Chen, Sailung Yeung, Toyotaro Suzumura, Lingli Chen:
Principled Multilayer Network Embedding. ICDM Workshops 2017: 134-141 - [c65]Dario Garcia-Gasulla, Armand Vilalta, Ferran Parés, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
Building Graph Representations of Deep Vector Embeddings. SemDeep@IWCS 2017: 9-15 - [c64]Armand Vilalta, Dario Garcia-Gasulla, Ferran Parés, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
Full-Network Embedding in a Multimodal Embedding Pipeline. SemDeep@IWCS 2017: 24-32 - [c63]Peng Du, Elvis S. Liu, Toyotaro Suzumura:
Parallel continuous collision detection for high-performance GPU cluster. I3D 2017: 4:1-4:7 - [p1]Miyuru Dayarathna, Toyotaro Suzumura:
High-Performance Graph Data Management and Mining in Cloud Environments with X10. Cloud Computing, 2nd Ed. 2017: 173-210 - [e3]Jian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, Ricardo Baeza-Yates, Xiaohua Hu, Jeremy Kepner, Alfredo Cuzzocrea, Jian Tang, Masashi Toyoda:
2017 IEEE International Conference on Big Data (IEEE BigData 2017), Boston, MA, USA, December 11-14, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-2715-0 [contents] - [i11]Dario Garcia-Gasulla, Ferran Parés, Armand Vilalta, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
On the Behavior of Convolutional Nets for Feature Extraction. CoRR abs/1703.01127 (2017) - [i10]Ferran Parés, Dario Garcia-Gasulla, Armand Vilalta, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
Fluid Communities: A Community Detection Algorithm. CoRR abs/1703.09307 (2017) - [i9]Mark Hughes, Irene Li, Spyros Kotoulas, Toyotaro Suzumura:
Medical Text Classification using Convolutional Neural Networks. CoRR abs/1704.06841 (2017) - [i8]Dario Garcia-Gasulla, Armand Vilalta, Ferran Parés, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
An Out-of-the-box Full-network Embedding for Convolutional Neural Networks. CoRR abs/1705.07706 (2017) - [i7]Weiyi Liu, Pin-Yu Chen, Hal James Cooper, Min Hwan Oh, Sailung Yeung, Toyotaro Suzumura:
Can GAN Learn Topological Features of a Graph? CoRR abs/1707.06197 (2017) - [i6]Dario Garcia-Gasulla, Armand Vilalta, Ferran Parés, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
Building Graph Representations of Deep Vector Embeddings. CoRR abs/1707.07465 (2017) - [i5]Armand Vilalta, Dario Garcia-Gasulla, Ferran Parés, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
Full-Network Embedding in a Multimodal Embedding Pipeline. CoRR abs/1707.09872 (2017) - [i4]Weiyi Liu, Pin-Yu Chen, Sailung Yeung, Toyotaro Suzumura, Lingli Chen:
Principled Multilayer Network Embedding. CoRR abs/1709.03551 (2017) - 2016
- [c62]Miyuru Dayarathna, Isuru Herath, Yasima Dewmini, Gayan Mettananda, Sameera Nandasiri, Sanath Jayasena, Toyotaro Suzumura:
Acacia-RDF: An X10-Based Scalable Distributed RDF Graph Database Engine. CLOUD 2016: 521-528 - [c61]Koji Ueno, Toyotaro Suzumura, Naoya Maruyama, Katsuki Fujisawa, Satoshi Matsuoka:
Extreme scale breadth-first search on supercomputers. IEEE BigData 2016: 1040-1047 - [c60]Hiroki Kanezashi, Toyotaro Suzumura:
An incremental local-first community detection method for dynamic graphs. IEEE BigData 2016: 3318-3325 - [c59]Dario Garcia-Gasulla, Jonathan Moreno, Raúl Ramos-Pollán, Romel Casadiegos Barrios, Javier Béjar, Ulises Cortés, Eduard Ayguadé, Jesús Labarta, Toyotaro Suzumura:
On the Representativeness of Convolutional Neural Networks Layers. CCIA 2016: 29-38 - [c58]Toyotaro Suzumura:
Towards Next-Generation Graph Processing and Management Platform. HPGP@HPDC 2016: 17 - [c57]Miyuru Dayarathna, Isuru Herath, Yasima Dewmini, Gayan Mettananda, Sameera Nandasiri, Sanath Jayasena, Toyotaro Suzumura:
Introducing Acacia-RDF: An X10-Based Scalable Distributed RDF Graph Database Engine. IPDPS Workshops 2016: 1024-1032 - [e2]James Joshi, George Karypis, Ling Liu, Xiaohua Hu, Ronay Ak, Yinglong Xia, Weijia Xu, Aki-Hiro Sato, Sudarsan Rachuri, Lyle H. Ungar, Philip S. Yu, Rama Govindaraju, Toyotaro Suzumura:
2016 IEEE International Conference on Big Data (IEEE BigData 2016), Washington DC, USA, December 5-8, 2016. IEEE Computer Society 2016, ISBN 978-1-4673-9005-7 [contents] - [e1]Toyotaro Suzumura, Dario Garcia-Gasulla, Miyuru Dayarathna:
Proceedings of the ACM Workshop on High Performance Graph Processing, HPGP@HPDC 2016, Kyoto, Japan, May 31, 2016. ACM 2016, ISBN 978-1-4503-4350-3 [contents] - [i3]Dario Garcia-Gasulla, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
Hierarchical Hyperlink Prediction for the WWW. CoRR abs/1611.09084 (2016) - 2015
- [c56]Toyotaro Suzumura, Koji Ueno:
ScaleGraph: A high-performance library for billion-scale graph analytics. IEEE BigData 2015: 76-84 - [c55]Chun-Fu (Richard) Chen, Gwo Giun Chris Lee, Yinglong Xia, W. Sabrina Lin, Toyotaro Suzumura, Ching-Yung Lin:
Efficient Multi-training Framework of Image Deep Learning on GPU Cluster. ISM 2015: 489-494 - [c54]Masatoshi Hanai, Toyotaro Suzumura, Georgios Theodoropoulos, Kalyan S. Perumalla:
Exact-Differential Large-Scale Traffic Simulation. SIGSIM-PADS 2015: 271-280 - [c53]Daisuke Ishii, Kazuki Yoshizoe, Toyotaro Suzumura:
Scalable parallel numerical constraint solver using global load balancing. X10@PLDI 2015: 33-38 - [c52]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:
SparkBench - A Spark Performance Testing Suite. TPCTC 2015: 26-44 - [c51]Masatoshi Hanai, Toyotaro Suzumura, Georgios Theodoropoulos, Kalyan S. Perumalla:
Towards large-scale what-if traffic simulation with exact-differential simulation. WSC 2015: 748-756 - [c50]Hiroki Kanezashi, Toyotaro Suzumura:
Performance optimization for agent-based traffic simulation by dynamic agent assignment. WSC 2015: 757-766 - [c49]Toyotaro Suzumura, Gavin McArdle, Hiroki Kanezashi:
A high performance multi-modal traffic simulation platform and its case study with the dublin city. WSC 2015: 767-778 - [i2]Daisuke Ishii, Kazuki Yoshizoe, Toyotaro Suzumura:
Scalable Parallel Numerical Constraint Solver Using Global Load Balancing. CoRR abs/1505.04542 (2015) - 2014
- [j5]Miyuru Dayarathna, Toyotaro Suzumura:
Graph database benchmarking on cloud environments with XGDBench. Autom. Softw. Eng. 21(4): 509-533 (2014) - [j4]Satoshi Matsuoka, Hitoshi Sato, Osamu Tatebe, Michihiro Koibuchi, Ikki Fujiwara, Shuji Suzuki, Masanori Kakuta,