Takanori Maehara - Concepedia

Author

Takanori Maehara

National Institute of Informatics ORCID

Also Known As

Maehara, Takanori, TAKANORI MAEHARA, Takanori MAEHARA, Takanori Maehara

121

Publications

1.5K

Citations

H-Index

105

Concepts

All Affiliations

National Institute of Informatics Shizuoka University The University of Tokyo University of Liverpool RIKEN Center for Advanced Intelligence Project

About

Takanori Maehara is an author at National Institute of Informatics specializing in engineering, data science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	20	32	1.2K
2	Business	8	8	308
3	Language Studies	8	8	208
4	Management	4	4	69
5	Biostatistics	1	1	43

Takanori Maehara

Publications

1.3K

Citations

H-Index

Page 1

	Year	Citations
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters Hoang Nt, Takanori Maehara arXiv (Cornell University) Geometric LearningGraph Neural NetworksGraph Representation LearningGraph TheoryMachine Learning	2019	248
Scalable similarity search for SimRank Mitsuru Kusumoto, Takanori Maehara, Ken‐ichi Kawarabayashi Ranking AlgorithmEngineeringScalable Similarity SearchLearning To RankGraph Matching	2014	100
Computing personalized PageRank quickly by exploiting graph structures Takanori Maehara, Takuya Akiba, Yoichi Iwata, Proceedings of the VLDB Endowment Cluster ComputingRanking AlgorithmEngineeringCommunity MiningNetwork Analysis	2014	66
Efficient PageRank Tracking in Evolving Networks Naoto Ohsaka, Takanori Maehara, Ken‐ichi Kawarabayashi EngineeringCommunity MiningNetwork AnalysisGraph MiningComputational Social Science	2015	65
Neural Inverse Rendering for General Reflectance Photometric Stereo Tatsunori Taniai, Takanori Maehara arXiv (Cornell University) Geometric LearningPhysics-based VisionMachine VisionImage AnalysisMachine Learning	2018	56
Reply trees in Twitter: data analysis and branching process models Ryosuke Nishi, Taro Takaguchi, Keigo Oka, Social Network Analysis and Mining	2016	49
Enumerate Lasso Solutions for Feature Selection Satoshi Hara, Takanori Maehara Proceedings of the AAAI Conference on Artificial Intelligence EngineeringMachine LearningBiometricsFeature SelectionImage Analysis	2017	43
Expected Tensor Decomposition with Stochastic Gradient Descent Takanori Maehara, Kohei Hayashi, Ken‐ichi Kawarabayashi Proceedings of the AAAI Conference on Artificial Intelligence Large TensorComputational ScienceTensor Samples XMachine LearningEngineering	2016	40
Joint Word Representation Learning using a Corpus and a Semantic Lexicon Danushka Bollegala, Mohammed Alsuhaibani, Takanori Maehara, arXiv (Cornell University) EngineeringSemantic LexiconSemanticsSemantic SimilarityCorpus Linguistics	2015	40
A numerical algorithm for block-diagonal decomposition of matrix *-algebras with general irreducible components Takanori Maehara, Kazuo Murota Japan Journal of Industrial and Applied Mathematics Low-rank ApproximationBlock-diagonal DecompositionRepresentation TheoryMatrix FactorizationMatrix Method	2010	39

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