| Dual channel hypergraph collaborative filtering S Ji, Y Feng, R Ji, X Zhao, W Tang, Y Gao Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 155 | 2020 |
| HGNN+: General Hypergraph Neural Networks Y Gao, Y Feng, S Ji, R Ji IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 3181-3199, 2022 | 134 | 2022 |
| Kullback–Leibler divergence metric learning S Ji, Z Zhang, S Ying, L Wang, X Zhao, Y Gao IEEE transactions on cybernetics 52 (4), 2047-2058, 2020 | 57 | 2020 |
| Exploring complex and heterogeneous correlations on hypergraph for the prediction of drug-target interactions D Ruan, S Ji, C Yan, J Zhu, X Zhao, Y Yang, Y Gao, C Zou, Q Dai Patterns 2 (12), 2021 | 17 | 2021 |
| Hypergraph-based multi-modal representation for open-set 3D object retrieval Y Feng, S Ji, YS Liu, S Du, Q Dai, Y Gao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 5 | 2023 |
| Graph learning on millions of data in seconds: Label propagation acceleration on graph using data distribution Y Zhang, S Ji, C Zou, X Zhao, S Ying, Y Gao IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 1835-1847, 2022 | 4 | 2022 |
| Hypergraph Computation Y Gao, S Ji, X Han, Q Dai Engineering, 2024 | | 2024 |
| Hyper-graph learning and its applications for medical image analysis Y Gao, S Ji Deep Learning for Medical Image Analysis, 153-184, 2024 | | 2024 |
