| Relation structure-aware heterogeneous graph neural network S Zhu, C Zhou, S Pan, X Zhu, B Wang 2019 IEEE international conference on data mining (ICDM), 1534-1539, 2019 | 49 | 2019 |
| Graph Geometry Interaction Learning S Zhu, S Pan, C Zhou, J Wu, Y Cao, B Wang arXiv preprint arXiv:2010.12135, 2020 | 44 | 2020 |
| GSSNN: Graph smoothing splines neural networks S Zhu, L Zhou, S Pan, C Zhou, G Yan, B Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 7007-7014, 2020 | 17 | 2020 |
| Ultrahyperbolic Knowledge Graph Embeddings B Xiong, S Zhu, M Nayyeri, C Xu, S Pan, C Zhou, S Staab arXiv preprint arXiv:2206.00449, 2022 | 4 | 2022 |
| Semi-Riemannian Graph Convolutional Networks B Xiong, S Zhu, N Potyka, S Pan, C Zhou, S Staab arXiv e-prints, arXiv: 2106.03134, 2021 | 4 | 2021 |
| Pseudo-Riemannian Graph Convolutional Networks B Xiong, S Zhu, N Potyka, S Pan, C Zhou, S Staab | 1 | 2022 |
| DSN-DDI: an accurate and generalized framework for drug–drug interaction prediction by dual-view representation learning Z Li, S Zhu, B Shao, X Zeng, T Wang, TY Liu Briefings in Bioinformatics 24 (1), 2023 | | 2023 |
| Geometry Contrastive Learning on Heterogeneous Graphs S Zhu, C Zhou, A Cheng, S Pan, S Wang, D Yin, B Wang arXiv preprint arXiv:2206.12547, 2022 | | 2022 |
| Multi-View Substructure Learning for Drug-Drug Interaction Prediction Z Li, S Zhu, B Shao, TY Liu, X Zeng, T Wang arXiv preprint arXiv:2203.14513, 2022 | | 2022 |
| Multi-Graph Fusion Networks for Urban Region Embedding S Wu, X Yan, X Fan, S Pan, S Zhu, C Zheng, M Cheng, C Wang arXiv preprint arXiv:2201.09760, 2022 | | 2022 |
