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Shichao Zhu
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Year
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
492019
Graph Geometry Interaction Learning
S Zhu, S Pan, C Zhou, J Wu, Y Cao, B Wang
arXiv preprint arXiv:2010.12135, 2020
442020
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
172020
Ultrahyperbolic Knowledge Graph Embeddings
B Xiong, S Zhu, M Nayyeri, C Xu, S Pan, C Zhou, S Staab
arXiv preprint arXiv:2206.00449, 2022
42022
Semi-Riemannian Graph Convolutional Networks
B Xiong, S Zhu, N Potyka, S Pan, C Zhou, S Staab
arXiv e-prints, arXiv: 2106.03134, 2021
42021
Pseudo-Riemannian Graph Convolutional Networks
B Xiong, S Zhu, N Potyka, S Pan, C Zhou, S Staab
12022
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
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