Masashi Shimbo - Concepedia

Author

Masashi Shimbo

Nara Institute of Science and Technology

Also Known As

Jun Toyama, M. Shimbo, Masashi Shimbo, Shimbo, Masashi

116

Publications

1.8K

Citations

H-Index

Concepts

All Affiliations

Nara Institute of Science and Technology UCLouvain National Institute of Genetics The Institute of Statistical Mathematics Université Libre de Bruxelles

About

Masashi Shimbo is an author at Nara Institute of Science and Technology specializing in engineering, data science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	18	23	1.1K
2	Language Studies	8	8	221
3	Business	7	7	567
4	Education	2	2	161
5	Medicine	1	1	24

Masashi Shimbo

Publications

1.3K

Citations

H-Index

Page 1

	Year	Citations
Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo, Artificial IntelligenceEngineeringMachine LearningOokb Entity ProblemSemantic Web	2017	288
A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances Luh Yen, Marco Saerens, Amin Mantrach, EngineeringPathfindingNetwork AnalysisEducationComputational Complexity	2008	86
Knowledge Base Completion with Out-of-Knowledge-Base Entities: A Graph Neural Network Approach Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo, Transactions of the Japanese Society for Artificial Intelligence Artificial IntelligenceEngineeringMachine LearningKnowledge ExtractionOokb Entity Problem	2018	77
Controlling the learning process of real-time heuristic search Masashi Shimbo, Toru Ishida Artificial Intelligence Artificial IntelligenceReal-time Heuristic SearchCognitive ScienceEngineeringHeuristic Planning	2003	76
Developments in the theory of randomized shortest paths with a comparison of graph node distances Ilkka Kivimäki, Masashi Shimbo, Marco Saerens Physica A Statistical Mechanics and its Applications Randomized Shortest PathsNetwork ScienceGraph TheoryEngineeringNetwork Algorithm	2013	75
Application of kernels to link analysis Takahiko Ito, Masashi Shimbo, Taku Kudo, Diffusion KernelsEngineeringNetwork AnalysisBibliometricsLink Prediction	2005	71
Using the Mutual k-Nearest Neighbor Graphs for Semi-supervised Classification on Natural Language Data Kohei Ozaki, Masashi Shimbo, Mamoru Komachi,	2011	66
On the Equivalence of Holographic and Complex Embeddings for Link Prediction Katsuhiko Hayashi, Masashi Shimbo	2017	59
The Sum-over-Paths Covariance Kernel: A Novel Covariance Measure between Nodes of a Directed Graph Amin Mantrach, Luh Yen, Jérôme Callut, IEEE Transactions on Pattern Analysis and Machine Intelligence Directed GraphCovariance MatrixEngineeringNetwork AnalysisRandom Graph	2009	49
Semi-supervised classification and betweenness computation on large, sparse, directed graphs Amin Mantrach, Nicolas van Zeebroeck, Pascal Francq, Pattern Recognition Graph SparsityDirected GraphEngineeringGraph TheoryData Science	2010	42

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