Murata Laboratory is doing research on artificial intelligence, especially Web mining and link mining.


Mr. Shun Nukui (title: "Constrained community detection based on semi-supervised non-negative matrix factorization on TensorFlow") received 2016 JSAI Annual Conference Student Incentive Award. (2017.3.1)

Murata was invited to MARAMI 2016 as an invited speaker, but the talk was canceled. (2016.10.14)

Murata gave a talk ("Mining and learning on heterogeneous networks") as an invited speaker at WIMS 2016 (slides). (2016.6.15)

Dr. Xin Liu and Mr. Weichu Liu's paper (title: "Community Detection in Multi-Partite Multi-Relational Networks Based on Information Compression") was accepted by New Generation Computing. (2016.3.7)

Mr. Phiradet Bangcharoensap's paper (title: "Transductive Classification on Heterogeneous Information Networks with Edge Betweenness-based Normalization") was accepted by WSDM 2016 conference (acceptance rate: 18.2%). (2015.10.14)

Mr. Phiradet Bangcharoensap's paper (title: "Two step graph-based semi-supervised learning for online auction fraud detection") was accepted by ECML-PKDD 2015 conference (acceptance rate: 28.6%). (2015.6.3)

Mr. Keisuke Nakata presented his work at CompleNet 2015(the 6th Workshop on Complex Networks). His photo is here. (2015.3.25)

Mr. Keisuke Nakata (title: "Speeding-up of Constrained Community Detection and Development of its Interactive Environment") received JSAI Annual Conference Award. 19 papers were selected out of 584 papers. (2014.7.22)

Dr. Xin Liu and Mr. Weichu Liu's paper (A Framework for Community Detection in Heterogeneous Multi-Relational Networks) was accepted by Advances in Complex Systems.(2014.7.9)

Dr. Xin Liu's paper (Detecting network communities beyond assortativity-related attributes) was accepted by Physical Review E.(2014.6.19)

Mr. Ikematsu's programs for detecting communities from n-partite networks are available online.
Reference:"Improvement of a Tripartite Modularity and Its Optimization Method"(written in Japanese)
(Transactions of the Japanese Society for Artificial Intelligence, Vol.29, No.2, pp.245-258, 2014)(2014.2.20)


Another Web site of Murata laboratory

Department of Computer Science, School of Computing
Tokyo Institute of Technology