Muhan Zhang
Muhan Zhang
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Cited by
Cited by
Link prediction based on graph neural networks
M Zhang, Y Chen
Advances in Neural Information Processing Systems 31, 5165-5175, 2018
An End-to-End Deep Learning Architecture for Graph Classification
M Zhang, Z Cui, M Neumann, Y Chen
AAAI, 4438-4445, 2018
Braingnn: Interpretable brain graph neural network for fmri analysis
X Li, Y Zhou, N Dvornek, M Zhang, S Gao, J Zhuang, D Scheinost, ...
Medical Image Analysis 74, 102233, 2021
Inductive matrix completion based on graph neural networks
M Zhang, Y Chen
International Conference on Learning Representations (ICLR 2020), 2020
Weisfeiler-Lehman Neural Machine for Link Prediction
M Zhang, Y Chen
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning
M Zhang, P Li, Y Xia, K Wang, L Jin
Advances in Neural Information Processing Systems 34, 2021
How powerful are spectral graph neural networks
X Wang, M Zhang
International Conference on Machine Learning, 23341-23362, 2022
Decoupling the Depth and Scope of Graph Neural Networks
H Zeng, M Zhang, Y Xia, A Srivastava, A Malevich, R Kannan, V Prasanna, ...
Advances in Neural Information Processing Systems 34, 2021
D-vae: A variational autoencoder for directed acyclic graphs
M Zhang, S Jiang, Z Cui, R Garnett, Y Chen
Advances in Neural Information Processing Systems, 1588-1600, 2019
Nested Graph Neural Networks
M Zhang, P Li
Advances in Neural Information Processing Systems 34, 2021
Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space
M Zhang, Z Cui, S Jiang, Y Chen
AAAI, 4430-4437, 2018
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks
H Wang, H Yin, M Zhang, P Li
International Conference on Learning Representations, 2021
Deep-learning model for predicting 30-day postoperative mortality
BA Fritz, Z Cui, M Zhang, Y He, Y Chen, A Kronzer, AB Abdallah, CR King, ...
British Journal of Anaesthesia 123 (5), 688-695, 2019
How powerful are k-hop message passing graph neural networks
J Feng, Y Chen, F Li, A Sarkar, M Zhang
Advances in Neural Information Processing Systems 35, 4776-4790, 2022
Batch mode active learning for regression with expected model change
W Cai, M Zhang, Y Zhang
IEEE transactions on neural networks and learning systems 28 (7), 1668-1681, 2017
Pooling regularized graph neural network for fmri biomarker analysis
X Li, Y Zhou, NC Dvornek, M Zhang, J Zhuang, P Ventola, JS Duncan
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Boostgapfill: Improving the fidelity of metabolic network reconstructions through integrated constraint and pattern-based methods
T Oyetunde, M Zhang, Y Chen, Y Tang, C Lo
Bioinformatics 33 (4), 608-611, 2017
3DLinker: An E (3) Equivariant Variational Autoencoder for Molecular Linker Design
Y Huang, X Peng, J Ma, M Zhang
arXiv preprint arXiv:2205.07309, 2022
WUFlux: an open-source platform for 13C metabolic flux analysis of bacterial metabolism
L He, SG Wu, M Zhang, Y Chen, YJ Tang
BMC bioinformatics 17, 1-7, 2016
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning
H Yin, M Zhang, Y Wang, J Wang, P Li
arXiv preprint arXiv:2202.13538, 2022
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