Hypergraph p-Laplacian: A differential geometry view S Saito, D Mandic, H Suzuki
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
30 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