| Link prediction based on graph neural networks M Zhang, Y Chen Advances in Neural Information Processing Systems 31, 5165-5175, 2018 | 2337 | 2018 |
| An End-to-End Deep Learning Architecture for Graph Classification M Zhang, Z Cui, M Neumann, Y Chen AAAI, 4438-4445, 2018 | 1897 | 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 | 516 | 2021 |
| Inductive matrix completion based on graph neural networks M Zhang, Y Chen International Conference on Learning Representations (ICLR 2020), 2020 | 330 | 2020 |
| Weisfeiler-Lehman Neural Machine for Link Prediction M Zhang, Y Chen Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 277 | 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 | 276* | 2021 |
| How powerful are spectral graph neural networks X Wang, M Zhang International Conference on Machine Learning, 23341-23362, 2022 | 234 | 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 | 220* | 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 | 210 | 2019 |
| Nested Graph Neural Networks M Zhang, P Li Advances in Neural Information Processing Systems 34, 2021 | 169 | 2021 |
| Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space M Zhang, Z Cui, S Jiang, Y Chen AAAI, 4430-4437, 2018 | 158* | 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 | 124 | 2021 |
| 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 | 120 | 2022 |
| 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 | 109 | 2019 |
| 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 | 100 | 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 | 79 | 2020 |
| LooGLE: Can Long-Context Language Models Understand Long Contexts? J Li, M Wang, Z Zheng, M Zhang arXiv preprint arXiv:2311.04939, 2023 | 67 | 2023 |
| One for All: Towards Training One Graph Model for All Classification Tasks H Liu, J Feng, L Kong, N Liang, D Tao, Y Chen, M Zhang arXiv preprint arXiv:2310.00149, 2023 | 63* | 2023 |
| 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 | 58 | 2017 |
| Neural Common Neighbor with Completion for Link Prediction X Wang, H Yang, M Zhang arXiv preprint arXiv:2302.00890, 2023 | 50 | 2023 |
Yixin ChenProfessor of Computer Science, Washington UniversityVerified email at cse.wustl.edu
