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Shichao Zhu
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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
1302019
Graph Geometry Interaction Learning
S Zhu, S Pan, C Zhou, J Wu, Y Cao, B Wang
arXiv preprint arXiv:2010.12135, 2020
972020
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), bbac597, 2023
632023
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
432022
Ultrahyperbolic Knowledge Graph Embeddings
B Xiong, S Zhu, M Nayyeri, C Xu, S Pan, C Zhou, S Staab
arXiv preprint arXiv:2206.00449, 2022
382022
Pseudo-riemannian graph convolutional networks
B Xiong, S Zhu, N Potyka, S Pan, C Zhou, S Staab
Advances in Neural Information Processing Systems 35, 3488-3501, 2022
34*2022
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
192020
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
22022
RHGNN: imposing relational inductive bias for heterogeneous graph neural network
S Zhu, S Zhang, Y Liu, C Zhou, S Pan, Z Li, H Chen
International Journal of Machine Learning and Cybernetics, 1-17, 2024
12024
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
12022
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