| Parameterized explainer for graph neural network D Luo, W Cheng, D Xu, W Yu, B Zong, H Chen, X Zhang Advances in neural information processing systems 33, 19620-19631, 2020 | 705 | 2020 |
| Learning to Drop: Robust Graph Neural Network via Topological Denoising D Luo, W Cheng, W Yu, B Zong, J Ni, H Chen, X Zhang Proceedings of the 14th ACM international conference on web search and data …, 2021 | 275 | 2021 |
| Infogcl: Information-aware graph contrastive learning D Xu, W Cheng, D Luo, H Chen, X Zhang Advances in Neural Information Processing Systems 34, 30414-30425, 2021 | 216 | 2021 |
| Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs. D Xu, W Cheng, D Luo, X Liu, X Zhang IJCAI, 3947-3953, 2019 | 103 | 2019 |
| Time series contrastive learning with information-aware augmentations D Luo, W Cheng, Y Wang, D Xu, J Ni, W Yu, X Zhang, Y Liu, Y Chen, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4534-4542, 2023 | 57 | 2023 |
| Local community detection in multiple networks D Luo, Y Bian, Y Yan, X Liu, J Huan, X Zhang Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 56 | 2020 |
| Adaptive neural network for node classification in dynamic networks D Xu, W Cheng, D Luo, Y Gu, X Liu, J Ni, B Zong, H Chen, X Zhang 2019 IEEE International Conference on Data Mining (ICDM), 1402-1407, 2019 | 43 | 2019 |
| Constrained local graph clustering by colored random walk Y Yan, Y Bian, D Luo, D Lee, X Zhang The world wide web conference, 2137-2146, 2019 | 36 | 2019 |
| On multi-query local community detection Y Bian, Y Yan, W Cheng, W Wang, D Luo, X Zhang 2018 IEEE international conference on data mining (ICDM), 9-18, 2018 | 34 | 2018 |
| Deep Multi-Graph Clustering via Attentive Cross-Graph Association D Luo, J Ni, S Wang, Y Bian, X Yu, X Zhang Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 32 | 2020 |
| Towards Faithful and Consistent Explanations for Graph Neural Networks T Zhao, D Luo, X Zhang, S Wang Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 26* | 2023 |
| Mixupexplainer: Generalizing explanations for graph neural networks with data augmentation J Zhang, D Luo, H Wei Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 19 | 2023 |
| Personalized federated learning via heterogeneous modular networks T Wang, W Cheng, D Luo, W Yu, J Ni, L Tong, H Chen, X Zhang 2022 IEEE International Conference on Data Mining (ICDM), 1197-1202, 2022 | 16 | 2022 |
| Unsupervised document embedding via contrastive augmentation D Luo, W Cheng, J Ni, W Yu, X Zhang, B Zong, Y Liu, Z Chen, D Song, ... arXiv preprint arXiv:2103.14542, 2021 | 15 | 2021 |
| Query independent scholarly article ranking S Ma, C Gong, R Hu, D Luo, C Hu, J Huai 2018 IEEE 34th international conference on data engineering (ICDE), 953-964, 2018 | 15 | 2018 |
| Memory-based random walk for multi-query local community detection Y Bian, D Luo, Y Yan, W Cheng, W Wang, X Zhang Knowledge and Information Systems 62, 2067-2101, 2020 | 14* | 2020 |
| Ensemble enabled weighted PageRank D Luo, C Gong, R Hu, L Duan, S Ma arXiv preprint arXiv:1604.05462, 2016 | 13 | 2016 |
| Topoimb: Toward topology-level imbalance in learning from graphs T Zhao, D Luo, X Zhang, S Wang Learning on Graphs Conference, 37: 1-37: 18, 2022 | 12 | 2022 |
| Parametric Augmentation for Time Series Contrastive Learning X Zheng, T Wang, W Cheng, A Ma, H Chen, M Sha, D Luo International Conference on Learning Representations (ICLR), 2024 | 11* | 2024 |
| MOGAT: A Multi-Omics Integration Framework Using Graph Attention Networks for Cancer Subtype Prediction RB Tanvir, MM Islam, M Sobhan, D Luo, AM Mondal International Journal of Molecular Sciences 25 (5), 2788, 2024 | 11* | 2024 |
Wei ChengSenior Research Staff Member, NEC Laboratories America (Ph.D, UNC-Chapel Hill)nec-labs.com의 이메일 확인됨