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Takanori Maehara
Takanori Maehara
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Title
Cited by
Cited by
Year
Revisiting graph neural networks: All we have is low-pass filters
NT Hoang, T Maehara
arXiv preprint arXiv:1905.09550 2, 2019
1462019
Scalable similarity search for SimRank
M Kusumoto, T Maehara, K Kawarabayashi
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
1052014
Joint word representation learning using a corpus and a semantic lexicon
D Bollegala, M Alsuhaibani, T Maehara, K Kawarabayashi
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
712016
Unsupervised cross-domain word representation learning
D Bollegala, T Maehara, K Kawarabayashi
arXiv preprint arXiv:1505.07184, 2015
702015
Computing personalized pagerank quickly by exploiting graph structures
T Maehara, T Akiba, Y Iwata, K Kawarabayashi
Proceedings of the VLDB Endowment 7 (12), 1023-1034, 2014
702014
Neural inverse rendering for general reflectance photometric stereo
T Taniai, T Maehara
International Conference on Machine Learning, 4857-4866, 2018
642018
Ellipsoidal model of the rise of a Taylor bubble in a round tube
T Funada, DD Joseph, T Maehara, S Yamashita
International journal of multiphase flow 31 (4), 473-491, 2005
622005
Efficient pagerank tracking in evolving networks
N Ohsaka, T Maehara, K Kawarabayashi
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
512015
Algorithm for error-controlled simultaneous block-diagonalization of matrices
T Maehara, K Murota
SIAM Journal on Matrix Analysis and Applications 32 (2), 605-620, 2011
502011
Enumerate lasso solutions for feature selection
S Hara, T Maehara
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
482017
A numerical algorithm for block-diagonal decomposition of matrix*-algebras with general irreducible components
T Maehara, K Murota
Japan journal of industrial and applied mathematics 27 (2), 263-293, 2010
462010
Reply trees in twitter: data analysis and branching process models
R Nishi, T Takaguchi, K Oka, T Maehara, M Toyoda, K Kawarabayashi, ...
Social Network Analysis and Mining 6 (1), 1-13, 2016
442016
Expected tensor decomposition with stochastic gradient descent
T Maehara, K Hayashi, K Kawarabayashi
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
352016
On tensor train rank minimization: Statistical efficiency and scalable algorithm
M Imaizumi, T Maehara, K Hayashi
Advances in Neural Information Processing Systems 30, 2017
312017
Data cleansing for models trained with SGD
S Hara, A Nitanda, T Maehara
Advances in Neural Information Processing Systems 32, 2019
302019
Real-time top-R topic detection on twitter with topic hijack filtering
K Hayashi, T Maehara, M Toyoda, K Kawarabayashi
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
292015
Exact computation of influence spread by binary decision diagrams
T Maehara, H Suzuki, M Ishihata
Proceedings of the 26th International Conference on World Wide Web, 947-956, 2017
282017
Embedding semantic relations into word representations
D Bollegala, T Maehara, K Kawarabayashi
Twenty-fourth international joint conference on artificial intelligence, 2015
272015
Jointly learning word embeddings using a corpus and a knowledge base
M Alsuhaibani, D Bollegala, T Maehara, K Kawarabayashi
PloS one 13 (3), e0193094, 2018
262018
Efficient simrank computation via linearization
T Maehara, M Kusumoto, K Kawarabayashi
arXiv preprint arXiv:1411.7228, 2014
252014
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