Tsuyoshi Murata

Tsuyoshi Murata

Tokyo Institute of Technology

H-index: 27

Asia-Japan

About Tsuyoshi Murata

Tsuyoshi Murata, With an exceptional h-index of 27 and a recent h-index of 21 (since 2020), a distinguished researcher at Tokyo Institute of Technology, specializes in the field of Artificial Intelligence, Network Science, Graph Neural Networks, Machine Learning, Social Network Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise

Future-Proofing Class Incremental Learning

Predicting popularity trend in social media networks with multi-layer temporal graph neural networks

Predicting potential real-time donations in YouTube live streaming services via continuous-time dynamic graphs

Feature selection: Key to enhance node classification with graph neural networks

Modularity-based selection of the number of slices in temporal network clustering

Improving automated detection of autism spectrum disorder with deep learning based on resting-state and task-based fMRI data

Heterogeneous graph embedding with single-level aggregation and infomax encoding

Tsuyoshi Murata Information

University

Position

Associate Professor of Computer Science

Citations(all)

3093

Citations(since 2020)

1484

Cited By

2243

hIndex(all)

27

hIndex(since 2020)

21

i10Index(all)

61

i10Index(since 2020)

41

Email

University Profile Page

Tokyo Institute of Technology

Google Scholar

View Google Scholar Profile

Tsuyoshi Murata Skills & Research Interests

Artificial Intelligence

Network Science

Graph Neural Networks

Machine Learning

Social Network Analysis

Top articles of Tsuyoshi Murata

Title

Journal

Author(s)

Publication Date

DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise

Tai Hasegawa

Sukwon Yun

Xin Liu

Yin Jun Phua

Tsuyoshi Murata

2024/4/25

Future-Proofing Class Incremental Learning

arXiv preprint arXiv:2404.03200

Quentin Jodelet

Xin Liu

Yin Jun Phua

Tsuyoshi Murata

2024/4/4

Predicting popularity trend in social media networks with multi-layer temporal graph neural networks

Complex & Intelligent Systems

Ruidong Jin

Xin Liu

Tsuyoshi Murata

2024/4/2

Predicting potential real-time donations in YouTube live streaming services via continuous-time dynamic graphs

Machine Learning

Ruidong Jin

Xin Liu

Tsuyoshi Murata

2024/4

Feature selection: Key to enhance node classification with graph neural networks

CAAI Transactions on Intelligence Technology

Sunil Kumar Maurya

Xin Liu

Tsuyoshi Murata

2023/3

Modularity-based selection of the number of slices in temporal network clustering

Patrik Seiron

Axel Lindegren

Matteo Magnani

Christian Rohner

Tsuyoshi Murata

...

2023/11/21

Improving automated detection of autism spectrum disorder with deep learning based on resting-state and task-based fMRI data

(No Title)

Zarina RAKHIMBERDINA

Tsuyoshi MURATA

2023

Heterogeneous graph embedding with single-level aggregation and infomax encoding

Machine Learning

Nuttapong Chairatanakul

Xin Liu

Nguyen Thai Hoang

Tsuyoshi Murata

2023/11

Class-incremental learning using diffusion model for distillation and replay

Quentin Jodelet

Xin Liu

Yin Jun Phua

Tsuyoshi Murata

2023

Toward Generalizability of Graph-based Imputation on Bio-Medical Missing Data

Sukwon Yun

Yunhak Oh

Junseok Lee

Xin Liu

Tsuyoshi Murata

...

2023/10/13

Link prediction for ex ante influence maximization on temporal networks

Applied Network Science

Eric Yanchenko

Tsuyoshi Murata

Petter Holme

2023/9/25

Influence maximization on temporal networks: a review

Eric Yanchenko

Tsuyoshi Murata

Petter Holme

2023/7/1

Not all neighbors are friendly: Learning to choose hop features to improve node classification

Sunil Kumar Maurya

Xin Liu

Tsuyoshi Murata

2022/10/17

Strengthening Robustness Under Adversarial Attacks Using Brain Visual Codes

IEEE Access

Zarina Rakhimberdina

Xin Liu

Tsuyoshi Murata

2022/9/8

Simplifying approach to node classification in graph neural networks

Journal of Computational Science

Sunil Kumar Maurya

Xin Liu

Tsuyoshi Murata

2022/7/1

Leaping through Time with Gradient-Based Adaptation for Recommendation

Proceedings of the AAAI Conference on Artificial Intelligence

Nuttapong Chairatanakul

NT Hoang

Xin Liu

Tsuyoshi Murata

2022/6/28

Balanced softmax cross-entropy for incremental learning with and without memory

Computer Vision and Image Understanding

Quentin Jodelet

Xin Liu

Tsuyoshi Murata

2022/12/1

Development of IPSJ Data Science Curriculum Standard

Tetsuro Kakeshita

Kazuo Ishii

Yoshiharu Ishikawa

Hitoshi Matsubara

Yutaka Matsuo

...

2021/8/17

Not All Neighbors are Friendly

Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Sunil Kumar Maurya

Xin Liu

Tsuyoshi Murata

2022/10/17

Natural image reconstruction from fmri using deep learning: A survey

Zarina Rakhimberdina

Quentin Jodelet

Xin Liu

Tsuyoshi Murata

2021/12/20

See List of Professors in Tsuyoshi Murata University(Tokyo Institute of Technology)