| Revisiting graph neural networks: All we have is low-pass filters H Nt, T Maehara arXiv preprint arXiv:1905.09550, 2019 | 454 | 2019 |
| Scalable similarity search for SimRank M Kusumoto, T Maehara, K Kawarabayashi Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 117 | 2014 |
| Neural inverse rendering for general reflectance photometric stereo T Taniai, T Maehara International Conference on Machine Learning, 4857-4866, 2018 | 106 | 2018 |
| 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 | 91 | 2014 |
| Data cleansing for models trained with SGD S Hara, A Nitanda, T Maehara Advances in Neural Information Processing Systems 32, 2019 | 79 | 2019 |
| 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 | 78 | 2016 |
| Unsupervised cross-domain word representation learning D Bollegala, T Maehara, K Kawarabayashi arXiv preprint arXiv:1505.07184, 2015 | 78 | 2015 |
| 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 | 73 | 2005 |
| Efficient pagerank tracking in evolving networks N Ohsaka, T Maehara, K Kawarabayashi Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 71 | 2015 |
| 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, 1-13, 2016 | 67 | 2016 |
| 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 | 66 | 2011 |
| Enumerate lasso solutions for feature selection S Hara, T Maehara Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 64 | 2017 |
| 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, 263-293, 2010 | 57 | 2010 |
| Expected tensor decomposition with stochastic gradient descent T Maehara, K Hayashi, K Kawarabayashi Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 51 | 2016 |
| 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 | 42 | 2018 |
| On tensor train rank minimization: Statistical efficiency and scalable algorithm M Imaizumi, T Maehara, K Hayashi advances in neural information processing systems 30, 2017 | 39 | 2017 |
| 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 | 38 | 2017 |
| State-space network topology identification from partial observations M Coutino, E Isufi, T Maehara, G Leus IEEE Transactions on Signal and Information Processing over Networks 6, 211-225, 2020 | 35 | 2020 |
| Graph homomorphism convolution H Nguyen, T Maehara International Conference on Machine Learning, 7306-7316, 2020 | 33 | 2020 |
| 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 | 32 | 2015 |
Ken-ichi KawarabayashiNational Institute of Informatics, The University of Tokyo在 nii.ac.jp 的电子邮件经过验证
