| Revisiting Graph Neural Networks: All We Have is Low-Pass Filters H NT, T Maehara arXiv preprint arXiv:1905.09550, 2019 | 486 | 2019 |
| Learning Graph Neural Networks with Noisy Labels H NT, CJ Jin, T Murata LLD - International Conference on Learning Representations (ICLR-19), 2019 | 45* | 2019 |
| Graph homomorphism convolution H NT, T Maehara 37th International Conference on Machine Learning (ICML-20), 7306-7316, 2020 | 43* | 2020 |
| Revisiting graph neural networks: Graph filtering perspective NT Hoang, T Maehara, T Murata 25th International Conference on Pattern Recognition (ICPR), 8376-8383, 2021 | 37 | 2021 |
| A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks T Maehara, H NT arXiv preprint arXiv:1910.03802, 2019 | 24 | 2019 |
| Validity and reliability of the Oura Ring Generation 3 (Gen3) with Oura sleep staging algorithm 2.0 (OSSA 2.0) when compared to multi-night ambulatory polysomnography: A … T Svensson, K Madhawa, H NT, U Chung, AK Svensson Sleep Medicine, 2024 | 10 | 2024 |
| Stacked graph filter H NT, T Maehara, T Murata arXiv preprint arXiv:2011.10988, 2020 | 7* | 2020 |
| Heterogeneous graph embedding with single-level aggregation and infomax encoding N Chairatanakul, X Liu, NT Hoang, T Murata Machine Learning 112 (11), 4227-4256, 2023 | 5 | 2023 |
| Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters T Maehara, H NT 35th Conference on Neural Information Processing Systems (NeurIPS-21), 2021 | 3 | 2021 |
| Associations of Subjective Sleep Quality with Wearable Device-Derived Resting Heart Rate During REM Sleep and Non-REM Sleep in a Cohort of Japanese Office Workers O Sjöland, T Svensson, K Madhawa, H Nt, UI Chung, AK Svensson Nature and Science of Sleep, 867-877, 2024 | | 2024 |
| Response to comment on" Validity and reliability of the Oura Ring Generation 3 (Gen3) with Oura Sleep Staging Algorithm 2.0 (OSSA 2.0) when compared to multi-night ambulatory … T Svensson, K Madhawa, H Nt, UI Chung, AK Svensson Sleep medicine 117, 217-218, 2024 | | 2024 |
| Leaping Through Time with Gradient-based Adaptation for Recommendation N Chairatanakul, H NT, X Liu, T Murata 36th AAAI Conference on Artificial Intelligence (AAAI-22), 2022 | | 2022 |
Takanori MaeharaRoku, inc.Verified email at acm.org
