Tsuyoshi Murata

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 80

Top Venues

Publications

Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
Future-Proofing Class Incremental Learning. CoRR (2024)
Ruidong Jin, Xin Liu, Tsuyoshi Murata
Predicting potential real-time donations in YouTube live streaming services via continuous-time dynamic graphs. Mach. Learn. 113 (4) (2024)
Tai Hasegawa, Sukwon Yun, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise. CoRR (2024)
Tai Hasegawa, Sukwon Yun, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise. PAKDD (2) (2024)
Eric Yanchenko, Tsuyoshi Murata, Petter Holme
Influence maximization on temporal networks: a review. Appl. Netw. Sci. 9 (1) (2024)
Eric Yanchenko, Tsuyoshi Murata, Petter Holme
Link prediction for ex ante influence maximization on temporal networks. CoRR (2023)
Patrik Seiron, Axel Lindegren, Matteo Magnani, Christian Rohner, Tsuyoshi Murata, Petter Holme
Modularity-based selection of the number of slices in temporal network clustering. CoRR (2023)
Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
Class-Incremental Learning using Diffusion Model for Distillation and Replay. CoRR (2023)
Eric Yanchenko, Tsuyoshi Murata, Petter Holme
Influence maximization on temporal networks: a review. CoRR (2023)
Eric Yanchenko, Tsuyoshi Murata, Petter Holme
Link prediction for ex ante influence maximization on temporal networks. Appl. Netw. Sci. 8 (1) (2023)
Nuttapong Chairatanakul, Xin Liu, Nguyen Thai Hoang, Tsuyoshi Murata
Heterogeneous graph embedding with single-level aggregation and infomax encoding. Mach. Learn. 112 (11) (2023)
Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
Feature selection: Key to enhance node classification with graph neural networks. CAAI Trans. Intell. Technol. 8 (1) (2023)
Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
Class-Incremental Learning using Diffusion Model for Distillation and Replay. ICCV (Workshops) (2023)
Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
Not All Neighbors are Friendly: Learning to Choose Hop Features to Improve Node Classification. CIKM (2022)
Quentin Jodelet, Xin Liu, Tsuyoshi Murata
Balanced softmax cross-entropy for incremental learning with and without memory. Comput. Vis. Image Underst. 225 (2022)
Tsuyoshi Murata, Naveed Afzal
Modularity Optimization as a Training Criterion for Graph Neural Networks. CoRR (2022)
Nuttapong Chairatanakul, Hoang NT, Xin Liu, Tsuyoshi Murata
Leaping through Time with Gradient-Based Adaptation for Recommendation. AAAI (2022)
Ruidong Jin, Xin Liu, Tsuyoshi Murata
Predicting Potential Real-Time Donations in YouTube Live Streaming Services via Continuous-Time Dynamic Graph. DS (2022)
Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
Simplifying approach to node classification in Graph Neural Networks. J. Comput. Sci. 62 (2022)
Zarina Rakhimberdina, Xin Liu, Tsuyoshi Murata
Strengthening Robustness Under Adversarial Attacks Using Brain Visual Codes. IEEE Access 10 (2022)
Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
Improving Graph Neural Networks with Simple Architecture Design. CoRR (2021)
Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu, Tsuyoshi Murata
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph. EMNLP (Findings) (2021)
Tsuyoshi Murata
COVID-19 and Networks. New Gener. Comput. 39 (3) (2021)
Andrea Tagarelli, Sabrina Gaito, Roberto Interdonato, Tsuyoshi Murata, Alessandra Sala, My T. Thai
Guest Editorial Introduction to the Special Section on Reloading Feature-Rich Information Networks. IEEE Trans. Netw. Sci. Eng. 8 (2) (2021)
Hibiki Taguchi, Xin Liu, Tsuyoshi Murata
Graph convolutional networks for graphs containing missing features. Future Gener. Comput. Syst. 117 (2021)
Tetsuro Kakeshita, Kazuo Ishii, Yoshiharu Ishikawa, Hitoshi Matsubara, Yutaka Matsuo, Tsuyoshi Murata, Miyuki Nakano, Takako Nakatani, Haruhiko Okumura, Naoko Takahashi, Norimitsu Takahashi, Gyo Uchida, Eriko Uematsu, Satoshi Saeki, Hiroshi Kato
Development of IPSJ Data Science Curriculum Standard. OCCE (2021)
Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu, Tsuyoshi Murata
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph. CoRR (2021)
Nuttapong Chairatanakul, Xin Liu, Tsuyoshi Murata
PGRA: Projected graph relation-feature attention network for heterogeneous information network embedding. Inf. Sci. 570 (2021)
Nuttapong Chairatanakul, Hoang NT, Xin Liu, Tsuyoshi Murata
Leaping Through Time with Gradient-based Adaptation for Recommendation. CoRR (2021)
Ruidong Jin, Tianqi Xia, Xin Liu, Tsuyoshi Murata, Kyoung-Sook Kim
Predicting Emergency Medical Service Demand With Bipartite Graph Convolutional Networks. IEEE Access 9 (2021)
Quentin Jodelet, Xin Liu, Tsuyoshi Murata
Balanced Softmax Cross-Entropy for Incremental Learning. ICANN (2) (2021)
Quentin Jodelet, Xin Liu, Tsuyoshi Murata
Balanced Softmax Cross-Entropy for Incremental Learning. CoRR (2021)
Zarina Rakhimberdina, Quentin Jodelet, Xin Liu, Tsuyoshi Murata
Natural Image Reconstruction from fMRI using Deep Learning: A Survey. CoRR (2021)
Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
Graph Neural Networks for Fast Node Ranking Approximation. ACM Trans. Knowl. Discov. Data 15 (5) (2021)
Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
Simplifying approach to Node Classification in Graph Neural Networks. CoRR (2021)
Hajime Miyazawa, Tsuyoshi Murata
Graph Convolutional Network with Time-Based Mini-Batch for Information Diffusion Prediction. COMPLEX NETWORKS (2) (2020)
Zarina Rakhimberdina, Xin Liu, Tsuyoshi Murata
Population Graph-Based Multi-Model Ensemble Method for Diagnosing Autism Spectrum Disorder. Sensors 20 (21) (2020)
Kaushalya Madhawa, Tsuyoshi Murata
{M. ACML (2020)
Hoang NT, Takanori Maehara, Tsuyoshi Murata
Revisiting Graph Neural Networks: Graph Filtering Perspective. ICPR (2020)
Kaushalya Madhawa, Tsuyoshi Murata
Active Learning for Node Classification: An Evaluation. Entropy 22 (10) (2020)
Jun Jin Choong, Xin Liu, Tsuyoshi Murata
Optimizing Variational Graph Autoencoder for Community Detection with Dual Optimization. Entropy 22 (2) (2020)
Hibiki Taguchi, Xin Liu, Tsuyoshi Murata
Graph Convolutional Networks for Graphs Containing Missing Features. CoRR (2020)
Kaushalya Madhawa, Tsuyoshi Murata
MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning. CoRR (2020)
Hoang NT, Takanori Maehara, Tsuyoshi Murata
Stacked Graph Filter. CoRR (2020)
Hiep V. Le, Tsuyoshi Murata, Masato Iguchi
Can Eruptions Be Predicted? Short-Term Prediction of Volcanic Eruptions via Attention-Based Long Short-Term Memory. AAAI (2020)
Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
Fast Approximations of Betweenness Centrality with Graph Neural Networks. CIKM (2019)
Hoang NT, Choong Jun Jin, Tsuyoshi Murata
Learning Graph Neural Networks with Noisy Labels. CoRR (2019)
Jun Jin Choong, Xin Liu, Tsuyoshi Murata
Optimizing Variational Graph Autoencoder for Community Detection. IEEE BigData (2019)
Nuttapong Chairatanakul, Tsuyoshi Murata, Xin Liu
Recurrent Translation-Based Network for Top-N Sparse Sequential Recommendation. IEEE Access 7 (2019)
Xin Liu, Chenyi Zhuang, Tsuyoshi Murata, Kyoung-Sook Kim, Natthawut Kertkeidkachorn
How much topological structure is preserved by graph embeddings? Comput. Sci. Inf. Syst. 16 (2) (2019)
Yohei Onuki, Tsuyoshi Murata, Shun Nukui, Seiya Inagi, Xule Qiu, Masao Watanabe, Hiroshi Okamoto
Relation prediction in knowledge graph by Multi-Label Deep Neural Network. Appl. Netw. Sci. 4 (1) (2019)
Arie Wahyu Wijayanto, Tsuyoshi Murata
Effective and scalable methods for graph protection strategies against epidemics on dynamic networks. Appl. Netw. Sci. 4 (1) (2019)
Arie Wahyu Wijayanto, Jun Jin Choong, Kaushalya Madhawa, Tsuyoshi Murata
Towards Robust Compressed Convolutional Neural Networks. BigComp (2019)
Zarina Rakhimberdina, Tsuyoshi Murata
Linear Graph Convolutional Model for Diagnosing Brain Disorders. COMPLEX NETWORKS (2) (2019)
Xin Liu, Tsuyoshi Murata, Kyoung-Sook Kim, Chatchawan Kotarasu, Chenyi Zhuang
A General View for Network Embedding as Matrix Factorization. WSDM (2019)
Kaushalya Madhawa, Tsuyoshi Murata
A multi-armed bandit approach for exploring partially observed networks. Appl. Netw. Sci. 4 (1) (2019)
Arie Wahyu Wijayanto, Tsuyoshi Murata
Learning Adaptive Graph Protection Strategy on Dynamic Networks via Reinforcement Learning. WI (2018)
Kaushalya Madhawa, Tsuyoshi Murata
Exploring Partially Observed Networks with Nonparametric Bandits. CoRR (2018)
Hafizh Adi Prasetya, Tsuyoshi Murata
Modeling the Co-evolving Polarization of Opinion and News Propagation Structure in Social Media. COMPLEX NETWORKS (2) (2018)
Jun Jin Choong, Xin Liu, Tsuyoshi Murata
Learning Community Structure with Variational Autoencoder. ICDM (2018)
Hiep V. Le, Tsuyoshi Murata, Masato Iguchi
Deep Modular Multimodal Fusion on Multiple Sensors for Volcano Activity Recognition. ECML/PKDD (3) (2018)
Ryuta Matsuno, Tsuyoshi Murata
MELL: Effective Embedding Method for Multiplex Networks. WWW (Companion Volume) (2018)
Kaushalya Madhawa, Tsuyoshi Murata
Exploring Partially Observed Networks with Nonparametric Bandits. COMPLEX NETWORKS (2) (2018)
Jun Jin Choong, Xin Liu, Tsuyoshi Murata
Variational Approach for Learning Community Structures. Complex. 2018 (2018)
Arie Wahyu Wijayanto, Jun Jin Choong, Kaushalya Madhawa, Tsuyoshi Murata
Robustness of Compressed Convolutional Neural Networks. IEEE BigData (2018)
Xin Liu, Natthawut Kertkeidkachorn, Tsuyoshi Murata, Kyoung-Sook Kim, Julien Leblay, Steven J. Lynden
Network Embedding Based on a Quasi-Local Similarity Measure. PRICAI (1) (2018)
Xin Liu, Tsuyoshi Murata, Kyoung-Sook Kim
Measuring Graph Reconstruction Precisions: How Well Do Embeddings Preserve the Graph Proximity Structure? WIMS (2018)
Yohei Onuki, Tsuyoshi Murata, Shun Nukui, Seiya Inagi, Xule Qiu, Masao Watanabe, Hiroshi Okamoto
Predicting relations of embedded RDF entities by Deep Neural Network. ISWC (Posters, Demos & Industry Tracks) (2017)
Arie Wahyu Wijayanto, Tsuyoshi Murata
Flow-Aware Vertex Protection Strategy on Large Social Networks. ASONAM (2017)
Koji Eguchi, Tsuyoshi Murata
Constrained Community Detection in Multiplex Networks. SocInfo (1) (2017)
Tsuyoshi Murata, Hokuto Koga
Methods for Influence Maximization in Dynamic Networks. COMPLEX NETWORKS (2017)
Tsuyoshi Murata, Yohei Onuki, Shun Nukui, Seiya Inagi, Xule Qiu, Masao Watanabe, Hiroshi Okamoto
Predicting Relations Between RDF Entities by Deep Neural Network. ESWC (Satellite Events) (2017)
Xin Liu, Weichu Liu, Tsuyoshi Murata, Ken Wakita
Community Detection in Multi-Partite Multi-Relational Networks Based on Information Compression. New Gener. Comput. 34 (1-2) (2016)
Phiradet Bangcharoensap, Tsuyoshi Murata, Hayato Kobayashi, Nobuyuki Shimizu
Transductive Classification on Heterogeneous Information Networks with Edge Betweenness-based Normalization. WSDM (2016)
Keisuke Nakata, Tsuyoshi Murata
Fast Optimization of Hamiltonian for Constrained Community Detection. CompleNet (2015)
Phiradet Bangcharoensap, Hayato Kobayashi, Nobuyuki Shimizu, Satoshi Yamauchi, Tsuyoshi Murata
Two Step graph-based semi-supervised Learning for Online Auction Fraud Detection. ECML/PKDD (3) (2015)
Tsuyoshi Murata
Comparison of Inter-Layer Couplings of Multilayer Networks. SITIS (2015)
Shogo Osawa, Tsuyoshi Murata
Selecting Seed Nodes for Influence Maximization in Dynamic Networks. CompleNet (2015)
Sorn Jarukasemratana, Tsuyoshi Murata
Community Detection in Scale-Free Networks using Edge Weight and Modularity Optimization Method. Inf. Media Technol. 10 (1) (2015)
Sorn Jarukasemratana, Tsuyoshi Murata
Edge Weight Method for Community Detection on Mixed Scale-Free Networks. Int. J. Artif. Intell. Tools 24 (2) (2015)
Xin Liu, Tsuyoshi Murata, Ken Wakita
A unified modularity by encoding the similarity attraction feature into the null model. ASONAM (2014)
Xin Liu, Weichu Liu, Tsuyoshi Murata, Ken Wakita
A Framework for Community Detection in Heterogeneous Multi-Relational Networks. Adv. Complex Syst. 17 (6) (2014)
Xin Liu, Tsuyoshi Murata, Ken Wakita
Detecting network communities beyond assortativity-related attributes. CoRR (2014)
Sorn Jarukasemratana, Tsuyoshi Murata
Edge Weight Method for Community Detection in Scale-Free Networks. WIMS (2014)
Sorn Jarukasemratana, Tsuyoshi Murata, Xin Liu
Community Detection Algorithm based on Centrality and Node Closeness in Scale-Free Networks. Inf. Media Technol. 9 (2) (2014)
Xin Liu, Weichu Liu, Tsuyoshi Murata, Ken Wakita
A framework for community detection in heterogeneous multi-relational networks. CoRR (2014)
Xin Liu, Tsuyoshi Murata, Ken Wakita
Extracting the multilevel communities based on network structural and nonstructural information. WWW (Companion Volume) (2013)
Sorn Jarukasemratana, Tsuyoshi Murata, Xin Liu
Community detection algorithm based on centrality and node distance in scale-free networks. HT (2013)
Kyohei Ikematsu, Tsuyoshi Murata
A Fast Method for Detecting Communities from Tripartite Networks. SocInfo (2013)
Sorn Jarukasemratana, Tsuyoshi Murata
Web Caching Replacement Algorithm Based on Web Usage Data. New Gener. Comput. 31 (4) (2013)
Sorn Jarukasemratana, Tsuyoshi Murata
Recent Large Graph Visualization Tools : A Review. Inf. Media Technol. 8 (4) (2013)
Xin Liu, Tsuyoshi Murata, Ken Wakita
Extending modularity by incorporating distance functions in the null model CoRR (2012)
Supaporn Spanurattana, Tsuyoshi Murata
Visual Analysis of Bipartite Networks. ICDM Workshops (2011)
Tsuyoshi Murata
A New Tripartite Modularity for Detecting Communities. Inf. Media Technol. 6 (2) (2011)
Xin Liu, Tsuyoshi Murata
Extracting the mesoscopic structure from heterogeneous systems. HT (2011)
Xin Liu, Tsuyoshi Murata
Detecting Communities in K-Partite K-Uniform (Hyper)Networks. J. Comput. Sci. Technol. 26 (5) (2011)
Xin Liu, Tsuyoshi Murata
An Efficient Algorithm for Optimizing Bipartite Modularity in Bipartite Networks. J. Adv. Comput. Intell. Intell. Informatics 14 (4) (2010)
Tsuyoshi Murata
Detecting communities from tripartite networks. WWW (2010)
Xin Liu, Tsuyoshi Murata
Evaluating Community Structure in Bipartite Networks. SocialCom/PASSAT (2010)
Tsuyoshi Murata
Modularity for heterogeneous networks. HT (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tsuyoshi Murata