Journal Paper

• Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata. Feature Selection: Key to Enhance Node Classification with Graph Neural Networks, CAAI Transactions on Intelligence Technology, pp. 1-15, Jan. 2023.  Official location  
• Quentin Jodelet, Xin Liu, Tsuyoshi Murata. Balanced Softmax Cross-Entropy for Incremental Learning with and without Memory, Computer Vision and Image Understanding, Vol. 225, No. 103582, pp. 1-11, Nov. 2022.  Official location  
• Zarina Rakhimberdina, Liu Xin, Tsuyoshi Murata. Strengthening Robustness under Adversarial Attacks using Brain Visual Codes, IEEE Access, IEEE, Vol. 10, pp. 96149-96158, Sept. 2022.  Official location  
• Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata. Simplifying Approach to Node Classification in Graph Neural Networks, Journal of Computational Science, Elsevier, Vol. 62, No. 101695, pp. 1-12, May 2022.  Official location  
• Nuttapong Chairatanakul, Xin Liu, Hoang Nguyen, Tsuyoshi MURATA. Heterogeneous graph embedding with single-level aggregation and infomax encoding, Machine Learning, Springer, pp. 1-30, Apr. 2022.  Official location  
• Nuttapong Chairatanakul, Xin Liu, Tsuyoshi MURATA. PGRA: Projected graph relation-feature attention network for heterogeneous information network embedding, Information Sciences, Elsevier, Volume 570, pp. 769-794, Sept. 2021.  Official location  
• 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 Transactions on Network Science and Engineering, IEEE, Vol. 8, No. 2, pp. 1256 - 1258, July 2021.  Official location  
• Sunil Maurya, Liu Xin, Tsuyoshi MURATA. Graph Neural Networks for Fast Node Ranking Approximation, ACM Transactions on Knowledge Discovery from Data, Vol. 15, No. 5, Article No. 78, May 2021.  Official location  
• Hibiki Taguchi, Liu Xin, Tsuyoshi MURATA. Graph Convolutional Networks for Graphs Containing Missing Features, Future Generation Computer Systems, Elsevier, Vol. 117, pp. 155-168, Apr. 2021.  Official location  
• Ruidong Jin, Liu Xin, Tsuyoshi MURATA. Predicting Emergency Medical Service Demand with Bipartite Graph Convolutional Networks, IEEE Access, Vol. 9, pp. 9903-9915, Jan. 2021.  Official location  
• Zarina Rakhimberdina, Tsuyoshi MURATA. Population Graph-based Multi-Model Ensemble Method for Diagnosing Autism Spectrum Disorder, Sensors, MDPI, Vol. 20, No. 21, pp. 1-18, Oct. 2020.  Official location  
• Kaushalya Madhawa, Tsuyoshi MURATA. Active Learning for Node Classification: An Evaluation, Entropy, MDPI, Vol. 22, No. 1164, pp. 1-20, Oct. 2020.  Official location  
• Nuttapong Chairatanakul, Xin Liu, Tsuyoshi MURATA. Recurrent Translation-based Network for Top-N Sparse Sequential Recommendation, IEEE Access, IEEE, Vol. 7, pp. 131567-131576, Sept. 2020.  Official location  
• Jun Jin Choong, Xin Liu, Tsuyoshi MURATA. Optimizing Variational Graph Autoencoder for Community Detection with Dual Optimization, Entropy, MDPI, Vol. 22, No. 2, pp. 1-21, Feb. 2020.  Official location  
• Hafizh Adi Prasetya, Tsuyoshi MURATA. A model of opinion and propagation structure polarization in social media, Computational Social Networks, Springer, Vol. 7, No. 2, pp. 1-35, Jan. 2020.  Official location  
• Makoto Tachibana, Tsuyoshi MURATA. 構造特徴とグラフ畳み込みを用いたネットワークの半教師あり学習, Transactions of the Japanese Society for Artificial Intelligence, 人工知能学会, Nov. 2019.
• Liu Xin, Chenyi Zhuang, Tsuyoshi MURATA, Kyoung-Sook Kim, Natthawut Kertkeidkachorn. How Much Topological Structure Is Preserved by Graph Embeddings?, Computer Science and Information Systems, Vol. 16, No. 2, pp. 597-614, June 2019.  Official location  
• Youhei Oonuki, Shun Nukui, Tsuyoshi MURATA, Seiya Inagi, Xule Qiu, Masao Watanabe, Hiroshi Okamoto. Relation Prediction in Knowledge Graph by Multi-Label Deep Neural Network, Applied Network Science, Springer, Vol. 4, No. 20, pp. 1-17, May 2019.  Official location  
• Kaushalya Madhawa, Tsuyoshi MURATA. A multi-armed bandit approach for exploring partially observed networks, Applied Network Science, Springer, Vol. 6, No. 26, pp. 1-18, May 2019.  Official location  
• Arie Wahyu Wijayanto, Tsuyoshi MURATA. Effective and scalable methods for graph protection strategies against epidemics on dynamic networks, Applied Network Science, Springer, Vol. 4, No. 18, pp. 1-31, Apr. 2019.  Official location  
• Tsuyoshi MURATA, Hokuto Koga. Extended Methods for Influence Maximization in Dynamic Networks, Computational Social Networks, Springer, Vol. 5, No. 8, pp. 1-21, Oct. 2018.  Official location  
• Arie Wahyu Wijayanto, Tsuyoshi MURATA. Pre-Emptive Spectral Graph Protection Strategies on Multiplex Social Networks, Applied Network Science, Springer, Vol. 3, No. 5, pp. 1-24, Apr. 2018.  Official location  
• Jun Jin Choong, Liu Xin, Tsuyoshi MURATA. Variational Approach for Learning Community Structures, Complexity, Hindawi, Vol. 2018, No. 4867304, pp. 1-13, 2018.  Official location  
• Kouji Eguchi, Tsuyoshi MURATA. Constrained Community Detection in Multislice Networks, Transactions of the Japanese Society for Artificial Intelligence, Vol. 32, No. 1, WII-C_1-9, Jan. 2017.  Official location  
• Xin Liu, Weichu Liu, Tsuyoshi MURATA, Ken Wakita. Community Detection in Multi-Partite Multi-Relational Networks Based on Information Compression, New generation computing : an international journal on fifth generation computers, Ohmsha, Vol. 34, No. 1,2, pp. 153-176, Mar. 2016.  Official location  
• Tsuyoshi MURATA. Comparison of Inter-Layer Couplings of Multilayer Networks, Proceedings - 11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015, pp. 448-452, 2016.
• Shogo Osawa, Tsuyoshi MURATA. Influence Maximization in Temporal Networks, Transactions of the Japanese Society for Artificial Intelligence, The Japanese Society for Artificial Intelligence, Vol. 30, No. 6, pp. 693-702, Nov. 2015.  Official location  
• Sorn Jarukasemratana, Tsuyoshi Murata. Edge Weight Method for Community Detection on Mixed Scale-Free Networks, International Journal on Artificial Intelligence Tools, World Scientific, Vol. 24, No. 2, pp. 1-24, Apr. 2015.
• Keisuke Nakata, Tsuyoshi MURATA. ハミルトニアンに基づいた制約付きコミュニティ抽出の高速化, Transactions of the Japanese Society for Artificial Intelligence, The Japanese Society for Artificial Intelligence, Vol. 30, No. 1, pp. 96-101, Jan. 2015.  Official location  
• Sorn Jarukasemratana, Tsuyoshi Murata. Community Detection in Scale-Free Networks using Edge Weight and Modularity Optimization Method, Transactions of the Japanese Society for Artificial Intelligence, The Japanese Society for Artificial Intelligence, Vol. 30, No. 1, pp. 84-95, Jan. 2015.  Official location  
• Xin Liu, Weichu Liu, Tsuyoshi Murata, Ken Wakita. A Framework for Community Detection in Heterogeneous Multi-Relational Networks, Advances in Complex Systems, World Scientific Publishing, Vol. 17, No. 1450018, Page 1-21, Sept. 2014.  Official location  
• Xin Liu, Tsuyoshi Murata, Ken Wakita. Detecting network communities beyond assortativity-related attributes, Physical Review E, American Physical Society, Vol. 90, No. 012806, Page 10, July 2014.  Official location  
• Sorn Jarukasemratana, Tsuyoshi Murata, Xin Liu. Community Detection Algorithm based on Centrality and Node Closeness in Scale-Free Networks, 人工知能学会論文誌, 人工知能学会, Vol. 29, No. 2, pp. 234-244, Mar. 2014.  Official location  
• Kyohei Ikematsu, Tsuyoshi MURATA. 3部モジュラリティの改善とその最適化手法, 人工知能学会論文誌, 人工知能学会, Vol. 29, No. 2, pp. 244-258, Mar. 2014.  Official location  
• Sorn Jarukasemratana, Tsuyoshi Murata. Web Caching Replacement Algorithm based on Web Usage Data, New Generation Computing, Ohmsha, Vol. 31, No. 4, pp. 311-329, Oct. 2013.  Official location  
• Takahiko Sugihara, unknown unknown, Tsuyoshi MURATA. Signedネットワークからのコミュニティ抽出, 人工知能学会論文誌, Vol. 28, No. 1, pp. 67-76, Jan. 2013.  Official location  
• unknown unknown, Tsuyoshi MURATA, KEN WAKITA. Extending modularity by incorporating distance functions in the null model, ArXiv, 1210.4007, 4 pages, Oct. 2012.  Official location  
• Liu Xin, Tsuyoshi MURATA. Detecting Communities in K-Partite K-Uniform (Hyper)Networks, Journal of Computer Science and Technology, Springer, Vol. 26, No. 5, pp. 778-791, Sept. 2011.
• Takeshi Motoda, Tsuyoshi MURATA. Improving the accuracy of link prediction by combining similarities of node pairs, Journal of the Japanese Society for Artificial Intelligence, Ohm Publishers, Vol. 26, No. 3, pp. 427-439, May 2011.  Official location  
• Swit Phuvipadawat, Tsuyoshi MURATA. Detecting a Multi-Level Content Similarity from Microblogs based on Community Structures and Named Entities, Journal of Emerging Technologies in Web Intelligence, Academy Publisher, Vol. 3, No. 1, pp. 11-19, Feb. 2011.  Official location  
• Tomoyuki Ikeya, Tsuyoshi MURATA. Community Detection and Evaluation in Bipartite Networks, Computer Software, Iwanami Publishers, Vol. 28, No. 1, pp. 91-102, Feb. 2011.
• Tsuyoshi MURATA. A New Tripartite Modularity for Detecting Communities, Computer Software, Iwanami Publishers, Vol. 28, No. 1, pp. 154-161, Feb. 2011.
• Spanurattana, S., Tsuyoshi MURATA. Visual analysis of bipartite networks, Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 833-838, 2011.
• Tsuyoshi MURATA, Yamada, S.. Intelligent web interactions, Journal of Emerging Technologies in Web Intelligence, Vol. 3, No. 1, pp. 1-2, 2011.
• Xin Liu, Tsuyoshi MURATA. An Efficient Algorithm for Optimixing Bipartite Modularity in Bipartite Networks, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Vol. 14, No. 4, pp. 408-415, May 2010.
• Xin Liu, Tsuyoshi MURATA. Advanced modularity-specialized label propagation algorithm for detecting communities in networks, Physica A: Statistical Mechanics and its Applications, Elsevier, Vol. 389, No. 7, pp. 1493-1500, Apr. 2010.
• Tsuyoshi MURATA, Tomoyuki IKEYA. A New Modularity for Detecting One-to-Many Correspondence of Communities in Bipartite Networks, Advances in Complex Systems, World Scientific, Vol. 13, No. 1, pp. 19-31, Mar. 2010.
• Xin Liu, Tsuyoshi MURATA. Community Detection in Large-scale Bipartite Networks, 人工知能学会論文誌, 人工知能学会, Vol. 25, No. 1, pp. 16-24, Jan. 2010.
• Sakiko MORIYASU, Tsuyoshi MURATA. インタ-ネットQAサイトにおけるリンク予測, 情報処理学会論文誌:数理モデル化と応用(TOM), Vol. 2, No. 1, pp. 10-21, Jan. 2009.
• Tsuyoshi Murata, Tomoyuki Ikeya. Analysis and Visualization of Internet QA Bulletin Boards Represented as Heterogeneous Networks, Transactions of the Japanese Society of Artificial Intelligence, Japanese Society of Artificial Intelligence, Vol. 23, No. 5, pp. 293-302, June 2008.  Official location  
• Tsuyoshi Murata, Sakiko Moriyasu. Link Prediction based on Structural Properties of Online Social Networks, New Generation Computing, Ohmsha, Vol. 26, No. 3, pp. 245-257, June 2008.
• Tsuyoshi Murata. Detection of Breaking News from Online Web Search Queries, New Generation Computing, Ohmsha, Vol. 26, No. 1, pp. 63-73, Jan. 2008.
• Tsuyoshi MURATA. Discovery of User Communities Based on Terms of Web Log Data, New Generation Computing, Ohmsha, Vol. 25, No. 3, pp. 293-303, June 2007.

Book

• Tsuyoshi MURATA. グラフニューラルネットワーク, オーム社, page 248, July 2022.  Official location  
• Tsuyoshi MURATA, Hokuto Koga. Approximation Methods for Influence Maximization in Temporal Networks, Temporal Network Theory, Springer, pp. 345-368, Dec. 2019.  Official location  
• Tsuyoshi MURATA. Pythonで学ぶネットワーク分析 ColaboratoryとNetworkXを使った実践入門, オーム社, Sept. 2019.  Official location  
• Tsuyoshi MURATA, Koji Mineshima, Daisuke Bekki. New Frontiers in Artificial Intelligence -- Revised Selected Papers of JSAI-isAI 2014 Workshops, Springer, LNCS 9067, Page 357, Oct. 2015.  Official location  
• Tsuyoshi MURATA. Detecting Communities in Social Networks, Handbook of Social Network -- Technologies and Applications, Springer, Chapter12, pp. 269-280, Dec. 2010.  Official location  
• Tsuyoshi MURATA. Modularity for Bipartite Networks, Data Mining for Social Network Data, Nasrullah Memon eds., Springer, pp. 109-123, July 2010.
• Tsuyoshi Murata, Kota Saito. Extracting Users' Interests of Web-watching Behaviors Based on Site-Keyword Graph, in A. Namatame, S. Kurihara, H. Nakashima, (Eds.), Emergent Intelligence of Networked Agents, Emergent Intelligence of Networked Agents, Springer, Vol. 56, pp. 139-146, June 2007.
• Tsuyoshi Murata. Graph Mining Approaches for the Discovery of Web Communities, in T. Washio, J. N. Kok, L. D. Raedt eds., Advances in Mining Graphs, Trees And Sequences (Frontiers in Artificial Intelligence and Applications), IOS Press, pp. 199-208, 2005.

International Conference (Reviewed)

• Sunil Kumar Maurya, Liu Xin, Tsuyoshi Murata. Not All Neighbors are Friendly. Learning to Choose Hop Features to Improve Node Classification, 31th ACM International Conference on Information and Knowledge Management (CIKM 2022), pp. 4334–4338, Oct. 2022.  Official location  
• Nuttapong Chairatanakul, Hoang Nguyen, Xin Liu, Tsuyoshi MURATA. Leaping Through Time with Gradient-based Adaptation for Recommendation, 36th AAAI Conference on Artificial Intelligence (AAAI 2022), AAAI Press, pp. 6141-6149, Feb. 2022.  Official location  
• Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu, Tsuyoshi MURATA. Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph, Findings of the Association for Computational Linguistics (EMNLP 2021), Association for Computational Linguistics, pp. 1504-1517, Nov. 2021.  Official location  
• Jodelet Quentin Magic, Xin Liu, Tsuyoshi MURATA. Balanced Softmax Cross-Entropy for Incremental Learning, The 30th International Conference on Artificial Neural Networks (ICANN 2021), Lecture Notes in Computer Science, Springer, Vol. 12892, Sept. 2021.  Official location  
• Hoang Nguyen, Takanori Maehara, Tsuyoshi MURATA. Revisiting Graph Neural Networks: Graph Filtering Perspective, the 25th International Conference on Pattern Recognition (ICPR 2020), pp. 8376-8383, Jan. 2021.  Official location  
• Hajime Miyazawa, Tsuyoshi MURATA. Graph Convolutional Network with Time-based Mini-batch for Information Diffusion Prediction, The 9th International Conference on Complex Networks and their Applications (Complex Networks 2020), Springer, pp. 8376-8383, Dec. 2020.  Official location  
• Kaushalya Madhawa, Tsuyoshi MURATA. MetAL: Active Semi-Supervised Learning on Graphs via Meta-Learning, the 12th Asian Conference on Machine Learning (ACML 2020), Nov. 2020.  Official location  
• Kaushalya Madhawa, Tsuyoshi MURATA. Active Learning on Graphs via Meta Learning, Graph Representation Learning and Beyond (GRL+), pp. 1-8, July 2020.  Official location  
• Tsuyoshi MURATA, Hiroki Arihara. Embedding of Signed Networks Focusing on Both Structure and Relation, the 11th International Conference on Complex Networks (CompleNet 2020), Complex Networks XI. Springer Proceedings in Complexity, Springer, pp. 60-69, Mar. 2020.  Official location  
• Hiep Vinh Le, Tsuyoshi MURATA, Masato Iguchi. Can Eruptions Be Predicted? Short-Term Prediction of Volcanic Eruptions via Attention-Based Long Short-Term Memory, the Thirty-Second Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-20), Vol. 34, No. 8, pp. 13320-13325, Feb. 2020.  Official location  
• Hibiki Taguchi, Tsuyoshi Murata, Xin Liu. BiMLPA : Community Detection in Bipartite Networks by Multi-Label Propagation, NetSci-X 2020: Sixth International Winter School and Conference on Network Science, Springer, pp. 17-31, Jan. 2020.  Official location  
• Zarina Rakhimberdina, Tsuyoshi MURATA. Linear Graph Convolutional Model for Diagnosing Brain Disorders, the 8th International Conference on Complex Networks and Their Applications (Complex Networks 2019), Springer, Vol. 2, pp. 815-826, Dec. 2019.  Official location  
• Sunil Kumar Maurya, Xin Liu, Tsuyoshi MURATA. Fast approximations of betweenness centrality with Graph Neural Networks, the 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), pp. 2149-2152, Nov. 2019.  Official location  
• Hoang Nguyen, Jun Jin Choong, Tsuyoshi MURATA. Learning Graph Neural Networks with Noisy Labels, The 2nd Learning from Limited Labeled Data (LLD) Workshop, pp. 1-5, May 2019.  Official location  
• Liu Xin, Tsuyoshi MURATA, Kyoung-Sook Kim, Chatchawan Kotarasu, Chenyi Zhuang. A General View for Network Embedding as Matrix Factorization, 12th ACM International Conference on Web Search and Data Mining (WSDM 2019), Proceedings of the 12th ACM International Conference on Web Search and Data Mining (WSDM 2019), ACM, pp. 375-383, Feb. 2019.  Official location  
• Arie Wahyu Wijayanto, Jun Jin Choong, Kaushalya Madhawa, Tsuyoshi MURATA. Towards Robust Compressed Convolutional Neural Networks, The 6th IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2019), Proceedings of the 6th IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2019), IEEE, pp. 168-175, Feb. 2019.
• Hiep Le, Tsuyoshi MURATA, Masato Iguchi. Deep Modular Multimodal Fusion on Multiple Sensors for Volcano Activity Recognition, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2018), Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2018. Lecture Notes in Computer Science, Vol. 11053, pp. 602–617, Jan. 2019.  Official location  
• Arie Wahyu Wijayanto, Tsuyoshi MURATA. Learning Adaptive Graph Protection Strategy on Dynamic Networks via Reinforcement Learning, 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), Proceedings of 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), IEEE, pp. 534-539, Dec. 2018.  Official location  
• Kaushalya Madhawa, Tsuyoshi MURATA. Exploring Partially Observed Networks with Nonparametric Bandits, 7th International Conference on Complex Networks and Their Applications (Complex Networks 2018), Proceedings of the 7th International Conference on Complex Networks and Their Applications (Complex Networks 2018), Springer, Vol. 2, pp. 158-168, Dec. 2018.  Official location  
• Hafizh Adi Prasetya, Tsuyoshi MURATA. Modeling the Co-evolving Polarization of Opinion and News Propagation Structure in Social Media, 7th International Conference on Complex Networks and Their Applications (Complex Networks 2018), Proceedings of the 7th International Conference on Complex Networks and Their Applications (Complex Networks 2018), Vol. 2, pp. 314-326, Dec. 2018.  Official location  
• Arie Wahyu Wijayanto, Jun Jin Choong, Kaushalya Madhawa, Tsuyoshi MURATA. Robustness of Compressed Convolutional Neural Networks, Workshop on Big Data for CyberSecurity (BigCyber-2018), Proceedings of the 2018 IEEE International Conference on Big Data (Big Data), pp. 4829-4836, Dec. 2018.  Official location  
• Jun Jin Choong, Liu Xin, Tsuyoshi MURATA. Learning Community Structure with Variational Autoencoder, IEEE International Conference on Data Mining (ICDM 2018), Proceedings of IEEE International Conference on Data Mining (ICDM 2018), IEEE, pp. 69-78, Nov. 2018.  Official location  
• Liu Xin, Natthawut Kertkeidkachorn, Tsuyoshi MURATA, Kyoung-Sook Kim, Julien Leblay, Steven Lynden. Network Embedding Based on a Quasi-Local Similarity Measure, 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2018), Springer, pp. 429-440, Aug. 2018.  Official location  
• Liu Xin, Tsuyoshi MURATA, Kyoung-Sook Kim. Measuring Graph Reconstruction Precisions---How Well Do Embeddings Preserve the Graph Proximity Structure, the 8th International Conference on Web Intelligence, Mining and Semantics (WIMS 2018), ACM, Article No. 25, pp. 1-4, June 2018.  Official location  
• Ryuta Matsuno, Tsuyoshi MURATA. MELL: Effective Embedding Method for Multiplex Networks, International workshop on Mining Attributed Networks (MATNet), WWW'18 Companion Proceedings of The Web Conference 2018, ACM, pp. 1261-1268, Apr. 2018.  Official location  
• Tsuyoshi MURATA, Naveed Afzal. Modularity Optimization as a Training Criterion for Graph Neural Networks, the 9th International Conference on Complex Networks (CompleNet 2018), Proceedings of the 9th International Conference on Complex Networks (CompleNet 2018), Springer, Mar. 2018.  Official location  
• Tsuyoshi MURATA, Hokuto Koga. Methods for Influence Maximization in Dynamic Networks, the 6th International Conference on Complex Networks and Their Applications (Complex Networks 2017), herifi C., Cherifi H., Karsai M., Musolesi M. (Eds.) Complex Networks & Their Applications VI., Studies in Computational Intelligence, Springer, Vol. 689, pp. 955-966, Nov. 2017.  Official location  
• Youhei Oonuki, Shun Nukui, Tsuyoshi MURATA, Seiya Inagi, Xule Qiu, Masao Watanabe, Hiroshi Okamoto. Predicting Relations Between RDF Entities by Deep Neural Network, Workshop on Semantic Deep Learning (SemDeep), Blomqvist E., Hose K., Paulheim H., Lawrynowicz A., Ciravegna F., Hartig O. (eds) The Semantic Web: ESWC 2017 Satellite Events. ESWC 2017. Lecture Notes in Computer Science, Springer, Vol. 10577, pp. 343-354, Nov. 2017.  Official location  
• Youhei Oonuki, Shun Nukui, Tsuyoshi MURATA, Seiya Inagi, Xule Qiu, Masao Watanabe, Hiroshi Okamoto. Predicting relations of embedded RDF entities by Deep Neural Network, The 16th International Semantic Web Conference (ISWC 2017), Oct. 2017.  Official location  
• Kouji Eguchi, Tsuyoshi MURATA. Constrained Community Detection in Multiplex Networks, the 9th International Conference on Social Informatics (SocInfo 2017), Ciampaglia G., Mashhadi A., Yasseri T. (Edsx) Social Informatics. SocInfo 2017. Lecture Notes in Computer Science, Springer, Vol. 10539, pp. 75-87, Sept. 2017.  Official location  
• Hoang Nguyen, Tsuyoshi MURATA. Motif-Aware Graph Embedding, The Third International Workshop on Representation Learning for Graphs (ReLiG 2017), pp. 9-16, Aug. 2017.  Official location  
• Arie Wahyu Wijayanto, Tsuyoshi MURATA. Flow-Aware Vertex Protection Strategy on Large Social Networks, The 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2017), pp. 58-63, July 2017.  Official location  
• Tsuyoshi MURATA, Takahiko Sugihara, Talel Abdessalem. Community Detection in Signed Networks Based on Extended Signed Modularity, The 8th Conference on Complex Networks (CompleNet 2017), Goncalves, B., Menezes, R., Sinatra, R., Zlatic, V. (Eds.), Proceedings of the 8th Conference on Complex Networks (CompleNet 2017), Complex Networks VIII, Springer, pp. 67-80, Mar. 2017.  Official location  
• Phiradet Bangcharoensap, Tsuyoshi MURATA, Hayato Kobayashi, Nobuyuki Shimizu. Transductive Classification on Heterogeneous Information Networks with Edge Betweenness-based Normalization, 9th International Conference on Web Search and Data Mining (WSDM 2016), Proceedings of the 9th International Conference on Web Search and Data Mining (WSDM 2016), ACM, pp. 437-446, Feb. 2016.  Official location  
• Phiradet Bangcharoensap, Hayato Kobayashi, Nobuyuki Shimizu, Satoshi Yamauchi, Tsuyoshi MURATA. Two step graph-based semi-supervised learning for online auction fraud detection, ECML PKDD 2015, Proceedings of ECML PKDD 2015 conference, Springer, LNAI 9286, pp. 165-179, Sept. 2015.  Official location  
• Shogo Osawa, Tsuyoshi MURATA. Selecting Seed Nodes for Influence Maximization in Dynamic Networks, 6th Workshop on Complex Networks (CompleNet 2015), Studies in Computational Intelligence, Springer, Vol. 597, pp. 91-98, Mar. 2015.  Official location  
• Keisuke Nakata, Tsuyoshi MURATA. Fast Optimization of Hamiltonian for Constrained Community Detection, 6th Workshop on Complex Networks (CompleNet 2015), Studies in Computational Intelligence, Springer, Vol. 597, pp. 79-89, Mar. 2015.  Official location  
• Xin Liu, Tsuyoshi MURATA, Ken Wakita. A unified modularity by encoding the similarity attraction feature into the null model, The 2014 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2014), Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining, IEEE, pp. 521-528, Aug. 2014.  Official location  
• Sorn Jarukasemratana, Tsuyoshi MURATA. Edge Weight Method for Community Detection in Scale-Free Networks, the 4th International Conference on Web Intelligence, Mining and Semantics, Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics, pp. 1-9, June 2014.  Official location  
• Yu Sakamoto, Tsuyoshi Murata. Visualizing the Structure of Great Speeches, IEEE Pacific Visualization Symposium 2014, Poster Proceedings of IEEE Pacific Visualization Symposium, IEEE, pp. 21-22, Mar. 2014.  Official location  
• Kyohei Ikematsu, Tsuyoshi Murata. A Fast Method for Detecting Communities from Tripartite Networks, 5th International Conference on Social Informatics (SocInfo 2013), Proceedings of the 5th International Conference on Social Informatics (SocInfo 2013), Springer, Vol. LNCS 8238, pp. 192-205, Nov. 2013.  Official location  
• Tsuyoshi MURATA. Generic Modularity for Heterogeneous Networks, The 9th Workshop on Algorithms and Models for the Web Graph (WAW2012), June 2013.  Official location  
• Xin Liu, Tsuyoshi Murata, Ken Wakita. Extracting the multilevel communities based on network structural and nonstructural information, 22nd international conference on World Wide Web (WWW 2013), Proceedings of the 22nd international conference on World Wide Web, ACM, pp. 191-192, May 2013.  Official location  
• Sorn Jarukasemratana, Tsuyoshi Murata, Xin Liu. Community detection algorithm based on centrality and node distance in scale-free networks, 24th ACM Conference on Hypertext and Social Media (Hypertext 2013), Proceedings of the 24th ACM Conference on Hypertext and Social Media (Hypertext 2013), ACM, pp. 258-262, May 2013.  Official location  
• Xin Liu, Tsuyoshi Murata, Ken Wakita. Exploring the multilevel community structure in D4D dataset, D4D challenge 2013, 2013.
• Xin Liu, Tsuyoshi Murata, Ken Wakita. Extending modularity by capturing the similarity attraction feature in the null model, International School and Conference on Network Science (NetSci 2013), 2013.  Official location  
• Tsuyoshi MURATA, Kenichi Otagiri. Searching and Ranking Mathematical Formulas, Mathematical Information Retrieval workshop (MIR2012), July 2012.  Official location  
• KEN WAKITA, Hiroshi Hosobe, Masanori Takami, Tsuyoshi MURATA. Taming Interactive Visualization of A Large-Scale Real-Life Social Graph of a Million Nodes, Workshop on Social Media Visualization (SocMedVis), June 2012.
• Tsuyoshi MURATA. Detecting Communities from Social Tagging Networks Based on Tripartite Modularity, Workshop on Link Analysis in Heterogeneous Information Networks, Workshop on Link Analysis in Heterogeneous Information Networks, 1-4, July 2011.
• Xin Liu, Tsuyoshi MURATA. Extracting the mesoscopic structure from heterogeneous systems, the 22nd ACM Conference on Hypertext and Hypermedia (HT'11), Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia (HT'11), ACM, pp. 211-220, June 2011.
• Xin Liu, Tsuyoshi MURATA. Evaluating Community Structure in Bipartite Networks, The second IEEE International Conference on Social Computing, Proceedings of the Symposium on Social Computing Application (SCA-10), pp. 576-581, Aug. 2010.
• Swit Phuvipadawat, Tsuyoshi MURATA. Breaking News Detection and Tracking in Twitter, Proceedings of the 2010 International Workshop on Intelligent Web Interaction (IWI-10), pp. 120-123, Aug. 2010.
• Tsuyoshi MURATA. Modularity for Heterogeneous Networks, proceedings of the 21st ACM Conference on Hypertext and Hypermedia (HyperText2010), pp. 129-134, June 2010.
• Tsuyoshi MURATA. Detecting Communities from Tripartite Networks, the 19th International World Wide Web Conference (WWW2010), poster proceedings of the 19th International World Wide Web Conference (WWW2010), ACM, pp. 1159-1160, Apr. 2010.
• Xin LIU, Tsuyoshi MURATA. Community Detection in Largte-scale Bipartite Networks, 2009 IEEE/WIC/ACM International Conference on Web Intelligence (WI'09), Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence (WI'09), pp. 50-57, Sept. 2009.
• Xin LIU, Tsuyoshi MURATA. How Does Label Propagation Algorithm Work in Bipartite Networks?, 2009 International Workshop on Interlligent Web Interaction (IWI'09), Proceedings of the 2009 International Workshop on Interlligent Web Interaction, pp. 5-8, Sept. 2009.
• Tsuyoshi MURATA. Detecting Communities from Bipartite Networks Based on Bipartite Modularities, the 2009 IEEE International Conference on Social Computing (SocialCom-09), Proceedings of the 2009 IEEE International Conference on Social Computing (SocialCom-09), pp. 50-57, Aug. 2009.
• Tsuyoshi MURATA. New Modularity for Evaluating Communities in Bipartite Networks, the 7th International Workshop on Mining and Learning with Graphs (MLG-09), July 2009.
• Tsuyoshi MURATA. Modularities for Bipartite Networks, Proceedings of the 20th ACM Conference on Hypertext and Hypermedia (Hypertext 2009), Proceedings of the 20th ACM Conference on Hypertext and Hypermedia (Hypertext 2009), pp. 245-250, June 2009.
• Tsuyoshi MURATA. Community Division of Heterogeneous Networks, the First International Conference on Complex Sciences, Proceedings of the First International Conference on Complex Sciences: Theory and Applications, 12 pages, Feb. 2009.
• Tsuyoshi Murata, Tomoyuki Ikeya. Analysis of Online Question-Answering Forums as Heterogeneous Networks, Second International Conference on Weblogs and Social Media (ICWSM 2008), Proceedings of the Second International Conference on Weblogs and Social Media (ICWSM 2008), pp. 210-211, Apr. 2008.
• Tsuyoshi Murata, Koji Takeichi. Discovering and Visualizing Network Communities, Workshop on Intelligent Web Interaction Workshop 2007, Proceedings of 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2007 Workshop Proceedings), pp. 217-220, Nov. 2007.
• Tsuyoshi Murata, Sakiko Moriyasu. Link Prediction of Social Networks Based on Weighted Proximity Measures, 2007 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2007), Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2007), IEEE, pp. 85-88, Nov. 2007.
• Tsuyoshi Murata, Sakiko Moriyasu. Link Prediction for Question-Answering Bulletin Boards, 5th International Workshop on Mining and Learning with Graphs (MLG'07), Proceedings of the 5th International Workshop on Mining and Learning with Graphs (MLG'07), pp. 115-118, Aug. 2007.
• Tsuyoshi Murata, Takahisa Suzuki. Requirements for Visualizing Dynamic Online Social Networks, 8th International Symposium on Advanced Intelligent Systems (ISIS 2007), Proceedings of the 8th International Symposium on Advanced Intelligent Systems (ISIS 2007), Vol. A1294, pp. 127-130, Aug. 2007.

Domestic Conference (Reviewed)

• Sorn Jarukasemratana, Tsuyoshi MURATA. Visualizing Web Structure based on Browsing Sessions, Proceedings of the 10th Asia Pacific Conference on Computer Human Interaction (APCHI2012), 2P-89, 2 pages, Aug. 2012.  Official location  
• Kyohei Ikematsu, Tsuyoshi MURATA. 3部モジュラリティの改善とその最適化手法, ネットワークが創発する知能研究会(JWEIN2012), 8 pages, Aug. 2012.  Official location  
• Tsuyoshi MURATA. Discovering,Visualizing and Evaluating Online Bipartite Communities, 2008 International Workshop on Intelligent Web Interaction, Proc. of the 2008 International Workshop on Intelligent Web Interaction, pp. 161-164, 2008.
• Sakiko Moriyasu, Tsuyoshi MURATA. インターネットQAサイトにおけるリンク予測, ネットワークが創発する知能研究会第3回ワークショップ(JWEIN2007), 日本ソフトウエア科学会 ネットワークが創発する知能研究会, pp. 113-118, Aug. 2007.

International Conference (Not reviewed / Unknown)

• Tsuyoshi MURATA. Networks, Deep Learning and COVID-19, International Conference on Data Science and Official Statistics (ICDSOS 2021), Nov. 2021.  Official location  
• Tsuyoshi MURATA, Yohei Onuki, Shun Nukui, Seiya Inagi, Xule Qiu, Masao Watanabe, Hiroshi Okamoto. Predicting relations between RDF entities by Deep Neural Network, Workshop on Semantic Deep Learning (SemDeep), 12 pages, May 2017.  Official location  
• Tsuyoshi MURATA. Mining and learning on heterogeneous networks, 6th International Conference on Web Intelligence, Mining and Semantics (WIMS'16), June 2016.  Official location  
• Tsuyoshi Murata. Extraction of Structural Information from the Web, The Second International Conference on Fuzzy Systems and Knowledge Discovery (FSKD2005), LNAI 3614, Springer, pp. 1204-1207, 2005.
• Tsuyoshi Murata. Qualitative Analysis of Web User Communities, The Third International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS2005), pp. SS4A-4, CD-ROM, 2005.

Domestic Conference (Not reviewed / Unknown)

• Tsuyoshi MURATA. グラフニューラルネットワーク, インテリジェント・システム・シンポジウム 2021 (FAN 2021 Online), Sept. 2022.  Official location  
• Hiroki Arihara, Tsuyoshi MURATA. Signed Networkにおけるノードの分散表現の学習, 第118回 知識ベースシステム研究会 (SIG-KBS), Vol. SIG-KBS-B902, pp. 1-6, Nov. 2019.  Official location  
• Hibiki Taguchi, Tsuyoshi Murata. マルチラベル伝搬法を用いた二部ネットワークからのコミュニティ抽出, 2019年度(第33回)人工知能学会全国大会, 4B2-J-3, pp. 1-4, June 2019.  Official location  
• Tsuyoshi MURATA. 深層学習による桜島噴火予測, 第115回人工知能学会知識ベースシステム研究会, 人工知能学会研究会資料, 人工知能学会, SIG-KBS-B802, pp. 26-27, Nov. 2018.  Official location  
• Makoto Tachibana, Tsuyoshi MURATA. 構造特徴とグラフ畳み込みを用いたネットワークの半教師あり学習, 第115回人工知能学会知識ベースシステム研究会, 人工知能学会研究会資料, 人工知能学会, SIG-KBS-B802, pp. 20-25, Nov. 2018.  Official location  
• Ryuta Matsuno, Tsuyoshi MURATA. レイヤーベクトルを用いたマルチプレックスネットワークのエンベディング手法, 2018年度(第32回)人工知能学会全国大会, 1N2-04, pp. 1-4, June 2018.  Official location  
• Tsuyoshi MURATA, Hiep Le, 井口正人. Stacked Recurrent Neural Networkによる桜島噴火予測, 2018年度(第32回)人工知能学会全国大会, 2A1-02, pp. 1-4, June 2018.  Official location  
• Tsuyoshi MURATA, Hiep Vinh Le, 井口 正人. 深層学習による火山活動認識, 第112回人工知能学会知識ベースシステム研究会, SIG-KBS-B508, pp. 38-45, Nov. 2017.  Official location  
• Ryosuke Nishigami, Shuhei Kishida, Tsuyoshi MURATA. Relationship between Parameters for compressing DNNs and their Accuracy and Size, 2017年度(第31回)人工知能学会全国大会, 1A3-4, 4 pages, May 2017.  Official location  
• Youhei Oonuki, Shun Nukui, Tsuyoshi MURATA, 稲木 誓哉, 邱 シュウレ, 渡部 雅夫, 岡本 洋. Prediction of relations among RDF entities by DNN, 2017年度(第31回)人工知能学会全国大会, 1A3-3, 4 pages, May 2017.  Official location  
• Youhei Oonuki, Shun Nukui, Tsuyoshi MURATA, 稲木 誓哉, 邱 シュウレ, 渡部 雅夫, 岡本 洋. Prediction of relations among RDF entities by DNN, 第41回セマンティックウェブとオントロジー(SWO)研究会, SIG-SWO-041-02, pp. 1-8, Feb. 2017.  Official location  
• Tsuyoshi MURATA. 多層ネットワークによる構造データ分析, 多層ネットワークによる構造データ分析, Sept. 2016.  Official location  
• 稲木 誓哉, 邱 シュウレ, 渡部雅夫, Shun Nukui, Tsuyoshi MURATA, 岡本 洋. 階層的ネットワークコミュニティ分解に基づく専門用語辞書からのタクソノミー自動構築, 第13回ネットワーク生態学シンポジウム, Aug. 2016.  Official location  
• 邱 シュウレ, 稲木 誓哉, Shun Nukui, Tsuyoshi MURATA, 岡本 洋. ランダムウォークモジュール分解に基づく二部ネットワークからのコミュニティ検出およびその実課題への適用, 第13回ネットワーク生態学シンポジウム, Aug. 2016.  Official location  
• 邱 シュウレ, 稲木 誓哉, Shun Nukui, Tsuyoshi MURATA, 岡本 洋. 二部ネットワークからのコミュニティ検出, ネットワークが創発する知能研究会(JWEIN2016), ネットワークが創発する知能研究会(JWEIN2016)論文集, Page 1-6, Aug. 2016.  Official location  
• Hokuto Koga, Tsuyoshi MURATA. 動的ネットワークにおける影響最大化手法の拡張, ネットワークが創発する知能研究会(JWEIN2016), ネットワークが創発する知能研究会(JWEIN2016)論文集, Page 1-7, Aug. 2016.  Official location  
• Yasuhiro Nabei, Tsuyoshi MURATA. レイヤ間の類似度に基づいた人工マルチレイヤネットワークの生成手法, 第13回ネットワーク生態学シンポジウム, Aug. 2016.  Official location  
• Shun Nukui, Tsuyoshi MURATA. Constrained community detection based on semi-supervised non-negative matrix factorization on TensorFlow, 2016年度人工知能学会全国大会(第30回), 2016年度人工知能学会全国大会(第30回)論文集, 人工知能学会, Vol. 3N4-OS-28b-3, pp. 1-4, June 2016.  Official location  
• Kouji Eguchi, Tsuyoshi MURATA. Constrained Community Detection in Multislice Networks, 2016年度人工知能学会全国大会(第30回), 2016年度人工知能学会全国大会(第30回)論文集, 人工知能学会, Vol. 3N3-OS-28a-2, pp. 1-4, June 2016.  Official location  
• 邱 シュウレ, 稲木 誓哉, Shun Nukui, Tsuyoshi MURATA, 岡本 洋. Random Walk based Community Detection from Bipartite Networks, 2016年度人工知能学会全国大会(第30回), 2016年度人工知能学会全国大会(第30回)論文集, 人工知能学会, Vol. 3N4-OS-28b-4, pp. 1-3, June 2016.  Official location  
• Tsuyoshi MURATA. Multilayerネットワークとコミュニティ抽出, 第12回ネットワーク生態学シンポジウム, Aug. 2015.  Official location  
• Shun Nukui, Tsuyoshi MURATA. Fast method for community detection in tripartite networks, 2015年度人工知能学会全国大会(第29回), 2015年度人工知能学会全国大会(第29回)論文集, 人工知能学会, Vol. 1C5-5, pp. 1-4, May 2015.
• Yasuhiro Nabei, Tsuyoshi MURATA. Improvement of Community Detection in Multislice Networks, 2015年度人工知能学会全国大会(第29回), 2015年度人工知能学会全国大会(第29回)論文集, 人工知能学会, Vol. 1C5-2, pp. 1-4, May 2015.  Official location  
• Kemal Maulana Kurniawan, Tsuyoshi Murata. Predicting Within- and Inter-community Links in Networks, 人工知能学会知識ベースシステム研究会(第102回), 人工知能学会知識ベースシステム研究会資料, 人工知能学会, Vol. SIG-KBS-B401, pp. 8-12, July 2014.  Official location  
• Keisuke Nakata, Tsuyoshi MURATA. 制約付きコミュニティ抽出の高速化と対話的環境の構築, 2014年度人工知能学会全国大会(第28回), 2014年度人工知能学会全国大会(第28回)論文集, 人工知能学会, No. 3B3-OS-10a-3, Page 1-4, May 2014.  Official location  
• Amjad Twalo, Tsuyoshi Murata. Internet Traffic Classification using multi-classifier systems, 2013年度人工知能学会全国大会(第27回), 2013年度人工知能学会全国大会(第27回)論文集, 人工知能学会, Page 3, June 2013.  Official location  
• Weichu Liu, Tsuyoshi Murata, Xin Liu. Community Detection on Heterogeneous Networks, 2013年度人工知能学会全国大会(第27回), 2013年度人工知能学会全国大会(第27回)論文集, 人工知能学会, Page 3, June 2013.  Official location  
• Takahiko Sugihara, Tsuyoshi MURATA. Signedネットワークからのコミュニティ抽出, 人工知能学会研究会資料, SIG-KBS-B202-02, pp. 7-12, Nov. 2012.  Official location  
• Sorn Jarukasemratana, Tsuyoshi MURATA. Improved Web Cache Replacement Policy using Web Usage Data, 2012年度人工知能学会全国大会(第26回)論文集, 3M2-IOS-3B-8, 6 pages, June 2012.  Official location  
• Takahiko Sugihara, Tsuyoshi MURATA. Modularity for signed networks, the 7th annual meeting of Special Interest Group on Emergent Intelligence on Network (SIG-EIN), Proceedings of the 7th annual meeting of Special Interest Group on Emergent Intelligence on Network (SIG-EIN), Japan Society for Software Science and Technology, pp. 33-38, Sept. 2011.
• Takahiko Sugihara, Tsuyoshi MURATA. Community Detectio by Affinity Propagation, The 25th Annual Conference of JSAI, Proceedings of the 25th Annual Conference of JSAI, Japanese Society for Artificial Intelligence, pp. 1-4, June 2011.
• Michita Fujii, Tsuyoshi MURATA. Ranking Multi-type Nodes in Networks, The 25th Annual Conference of JSAI, Proceedings of the 25th Annual Conference of JSAI, Japanese Society for Artificial Intelligence, pp. 1-4, June 2011.
• Takeshi Motoda, Tsuyoshi MURATA. Improving the accuracy of link prediction by combining similarities of node pairs, the 73rd national convention of IPSJ, Proceedings fo the 73rd national convention of IPSJ, Information Processing Society of Japan, 657-658, Mar. 2011.
• Swit Phuvipadawat, Tsuyoshi MURATA. Breaking News Detecton in Twitter, 電子情報通信学会 Webインテリジェンスとインタラクション研究会, IEICE SIG Notes, Vol. WI2-2010-23, pp. 79-84, Mar. 2010.
• Tomoyuki IKEYA, Tsuyoshi MURATA. 2部モジュラリティの比較および評価, 情報処理学会ネットワーク生態学研究グループ 第6回ネットワーク生態学シンポジウム, 情報処理学会ネットワーク生態学研究グループ 第6回ネットワーク生態学シンポジウム予稿集, pp. 92-100, Dec. 2009.
• Takeshi MOTODA, Tuyoshi MURATA, Taisuke SATO. 実ネットワークに対する、各種リンク予測手法の適正について, 2009年度人工知能学会全国大会（第23回）論文集, 3B1-1, 4, June 2009.
• Tomoyuki Ikeya, Tsuyoshi MURATA. Community Extraction from Networks of Multi-type Nodes, the 22nd Annual Conference of the Japanese Society for Artificial Intelligence 2008, Proceedings of the 22nd Annual Conference of the Japanese Society for Artificial Intelligence 2008, Japanese Society for Artificial Intelligence, 3E1-4, Page 4, June 2008.  Official location  
• Kenichi Otagiri, Tsuyoshi MURATA. Search of Mathematical Formulas using MathML, the 22nd Annual Conference of the Japanese Society for Artificial Intelligence 2008, Proceedings of the 22nd Annual Conference of the Japanese Society for Artificial Intelligence 2008, Japanese Society for Artificial Intelligence, 1F1-3, Page 4, June 2008.  Official location  
• Koji Takeichi, Tsuyoshi MURATA. ネットワークデータからのコミュニティ抽出手法の特徴比較, 電子情報通信学会Webインテリジェンスとインタラクション研究会資料, 電子情報通信学会, Vol. WI2-2008-08, pp. 35-40, Mar. 2008.
• Tsuyoshi MURATA. 2部グラフにおけるモジュラリティ, 日本ソフトウェア科学会 ネットワークが創発する知能研究会第4回ワークショップ, ネットワークが創発する知能研究会第4回ワークショップ講演論文集, pp. 30-35, 2008.
• Sakiko Moriyasu, Tsuyoshi MURATA. インターネットQAサイトにおけるリンク予測, 第21回人工知能学会全国大会, 人工知能学会, Vol. 1G1-1, June 2007.
• T. Murata. Extracting relations among objects based on the number of hits on Web search, 人工知能学会研究会資料, The Japanese Society for Artificial Intelligence, pp. SIG-KBS-A501, pp.19-23, 2005.

Other Publication

• Zarina Rakhimberdina, Jodelet Quentin Magic, Xin Liu, Tsuyoshi MURATA. Natural Image Reconstruction from fMRI using Deep Learning: A Survey, Frontiers in Neuroscience, frontiers, Vol. 15, No. 795488, Dec. 2021.  Official location  
• Tsuyoshi MURATA. COVID-19 and Networks, New Generation Computing, Springer, Vol. 39, pp. 469–481, Sept. 2021.  Official location  
• Yasufumi Takama, Tsuyoshi MURATA. Webインテリジェンス, 人工知能学会誌, 人工知能学会, Vol. 35, No. 5, pp. 707-717, Sept. 2020.  Official location  
• Tsuyoshi MURATA. COVID-19 とネットワーク, 人工知能学会誌, 人工知能学会, Vol. 35, No. 5, pp. 654-660, Sept. 2020.  Official location  
• Sorn Jarukasemratana, Tsuyoshi Murata. Recent Large Graph Visualization Tools : A Review, コンピュータ ソフトウェア, 日本ソフトウェア科学会, Vol. 30, No. 2, Aug. 2013.  Official location  
• Tsuyoshi MURATA. ネットワークからのコミュニティ抽出, 知能と情報(日本知能情報ファジィ学会誌), Vol. 21, No. 4, pp. 500-508, Aug. 2009.
• S. Yamada, T. Onoda, Y. Takama, T. Murata. Acquisition of Meta Information Sources of WWW, The Japanese Society for Artificial Intelligence, Vol. 20, No. 2, pp. 149-156, 2005.
• T. Murata. Search Engines 2005, Information Processing Society of Japan, Vol. 46, No. 9, pp. 979-1015, 2005.
• H. Yamana, T. Murata. Introduction to Search Engines, Information Processing Society of Japan, Vol. 46, No. 9, pp. 981-987, 2005.

Degree

• 平面幾何における発見システムに関する研究,  Thesis,  Doctor of Engineering,  Tokyo Institute of Technology,  1997/02/--, 

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