| Gophormer: Ego-graph transformer for node classification J Zhao, C Li, Q Wen, Y Wang, Y Liu, H Sun, X Xie, Y Ye arXiv preprint arXiv:2110.13094, 2021 | 77 | 2021 |
| Multi-task self-supervised graph neural networks enable stronger task generalization M Ju, T Zhao, Q Wen, W Yu, N Shah, Y Ye, C Zhang arXiv preprint arXiv:2210.02016, 2022 | 35 | 2022 |
| Multi-view self-supervised heterogeneous graph embedding J Zhao, Q Wen, S Sun, Y Ye, C Zhang Joint European conference on machine learning and knowledge discovery in …, 2021 | 34 | 2021 |
| Self-supervised graph structure refinement for graph neural networks J Zhao, Q Wen, M Ju, C Zhang, Y Ye Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 27 | 2023 |
| Disentangled dynamic heterogeneous graph learning for opioid overdose prediction Q Wen, Z Ouyang, J Zhang, Y Qian, Y Ye, C Zhang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 25 | 2022 |
| Co-modality graph contrastive learning for imbalanced node classification Y Qian, C Zhang, Y Zhang, Q Wen, Y Ye, C Zhang Advances in Neural Information Processing Systems 35, 15862-15874, 2022 | 21 | 2022 |
| Rep2vec: Repository embedding via heterogeneous graph adversarial contrastive learning Y Qian, Y Zhang, Q Wen, Y Ye, C Zhang Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 19 | 2022 |
| GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning Q Wen, Z Ouyang, C Zhang, Y Qian, C Zhang, Y Ye The 40th Conference on Uncertainty in Artificial Intelligence, 0 | 19* | |
| When sparsity meets contrastive models: less graph data can bring better class-balanced representations C Zhang, C Huang, Y Tian, Q Wen, Z Ouyang, Y Li, Y Ye, C Zhang International Conference on Machine Learning, 41133-41150, 2023 | 12 | 2023 |
| Rxnet: Rx-refill graph neural network for overprescribing detection J Zhang, AT Kuo, J Zhao, Q Wen, E Winstanley, C Zhang, Y Ye Proceedings of the 30th ACM International Conference on Information …, 2021 | 11 | 2021 |
| Diving into unified data-model sparsity for class-imbalanced graph representation learning C Zhang, C Huang, Y Tian, Q Wen, Z Ouyang, Y Li, Y Ye, C Zhang arXiv preprint arXiv:2210.00162, 2022 | 8 | 2022 |
| Clinical connectivity map for drug repurposing: using laboratory results to bridge drugs and diseases Q Wen, R Liu, P Zhang BMC medical informatics and decision making 21, 1-11, 2021 | 7 | 2021 |
| A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data Q Wen, J Li, C Zhang, Y Ye Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 3 | 2023 |
| From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble Q Wen, M Ju, Z Ouyang, C Zhang, Y Ye Forty-first International Conference on Machine Learning, 0 | 2* | |
| Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks J Zhang, AT Kuo, J Zhao, Q Wen, EL Winstanley, C Zhang, Y Ye IJCAI, 5379-5383, 2022 | 1 | 2022 |
| Unifying Data-Model Sparsity for Class-Imbalanced Graph Representation Learning C Zhang, Y Tian, Q Wen, Z Ouyang, Y Ye, C Zhang The First Workshop on DL-Hardware Co-Design for AI Acceleration (DCAA …, 2023 | | 2023 |
| Co-Modality Imbalanced Graph Contrastive Learning Y Qian, C Zhang, Y Zhang, Q Wen, Y Ye, C Zhang Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022 | | 2022 |