| Hypergraph p-Laplacian: A differential geometry view S Saito, D Mandic, H Suzuki Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 31 | 2018 |
| Early Detection of Disasters with Contextual Information on Twitter S Saito, Y Ikawa, H Suzuki, A Murakami Technical Report of IEICE 114.81, 7-12, 2014 | 10* | 2014 |
| Early detection of persistent topics in social networks S Saito, R Tomioka, K Yamanishi Social Network Analysis and Mining 5, 1-15, 2015 | 7* | 2015 |
| Tracking time evolution of collective attention clusters in twitter: time evolving nonnegative matrix factorisation S Saito, Y Hirata, K Sasahara, H Suzuki Plos one 10 (9), e0139085, 2015 | 6 | 2015 |
| Multi-class Graph Clustering via Approximated Effective -Resistance S Saito, M Herbster Proceedings of the 40th International Conference on Machine Learning 202 …, 2023 | 3 | 2023 |
| Generalizing p-Laplacian: spectral hypergraph theory and a partitioning algorithm S Saito, M Herbster Machine Learning 112 (1), 241-280, 2023 | 3 | 2023 |
| Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel -means, and Heat Kernel S Saito Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 8141-8149, 2022 | 3 | 2022 |
| Bandits with Abstention under Expert Advice S Pasteris, A Rumi, M Thiessen, S Saito, A Miyauchi, F Vitale, M Herbster arXiv preprint arXiv:2402.14585, 2024 | | 2024 |
| ResTran: A GNN Alternative To Learn Graph With Features S Saito, T Maehara, M Herbster | | 2023 |
| SNS の共有行動を用いたユーザーの興味のモデル化に対する考察 村上明子， 榎美紀， 斎藤翔太 人工知能学会全国大会論文集 第 28 回 (2014), 4I15-4I15, 2014 | | 2014 |
Mark HerbsterUniversity College London在 cs.ucl.ac.uk 的电子邮件经过验证
