| Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage Y Wang, Y Zhao, Y Dong, H Chen, J Li, T Derr Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 72 | 2022 |
| Tree Decomposed Graph Neural Network Y Wang, T Derr ACM International Conference on Information and Knowledge Management (CIKM), 2021 | 58 | 2021 |
| Collaboration-Aware Graph Convolutional Network for Recommender Systems Y Wang, Y Zhao, Y Zhang, T Derr Proceedings of the ACM Web Conference 2023, 91-101, 2023 | 42* | 2023 |
| Imbalanced Graph Classification via Graph-of-Graph Neural Networks Y Wang, Y Zhao, N Shah, T Derr 31st ACM International Conference on Information and Knowledge Management, 2021 | 40 | 2021 |
| Knowledge graph prompting for multi-document question answering Y Wang, N Lipka, RA Rossi, A Siu, R Zhang, T Derr AAAI 2024, 2024 | 36 | 2024 |
| On structural explanation of bias in graph neural networks Y Dong, S Wang, Y Wang, T Derr, J Li Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 29 | 2022 |
| Graph neural networks: Self-supervised learning Y Wang, W Jin, T Derr Graph Neural Networks: Foundations, Frontiers, and Applications, 391-420, 2022 | 29 | 2022 |
| ChemicalX: A Deep Learning Library for Drug Pair Scoring B Rozemberczki, CT Hoyt, A Gogleva, P Grabowski, K Karis, A Lamov, ... Proceedings of 28th ACM SIGKDD International Conference on Knowledge …, 2022 | 22 | 2022 |
| Distance-wise prototypical graph neural network in node imbalance classification Y Wang, C Aggarwal, T Derr arXiv preprint arXiv:2110.12035, 2021 | 19 | 2021 |
| Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery Y Liu, Y Wang, OT Vu, R Moretti, B Bodenheimer, J Meiler, T Derr AAAI 2023, 2022 | 16 | 2022 |
| Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations Y Zhao, Y Wang, T Derr AAAI 2023, 2022 | 13 | 2022 |
| Fair graph representation learning with imbalanced and biased data Y Wang Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 12 | 2022 |
| Fairness and diversity in recommender systems: a survey Y Zhao, Y Wang, Y Liu, X Cheng, CC Aggarwal, T Derr ACM Transactions on Intelligent Systems and Technology, 2023 | 11 | 2023 |
| Generating synthetic systems of interdependent critical infrastructure networks Y Wang, JZ Yu, H Baroud IEEE Systems Journal 16 (2), 3191-3202, 2021 | 11 | 2021 |
| Degree-related bias in link prediction Y Wang, T Derr 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 757-758, 2022 | 8 | 2022 |
| An enhanced percolation method for automatic detection of cracks in concrete bridges Q Gao, Y Wang, J Li, K Sheng, C Liu Advances in Civil Engineering 2020 (1), 8896176, 2020 | 6 | 2020 |
| Fairness-aware graph neural networks: A survey A Chen, RA Rossi, N Park, P Trivedi, Y Wang, T Yu, S Kim, F Dernoncourt, ... ACM Transactions on Knowledge Discovery from Data 18 (6), 1-23, 2024 | 5 | 2024 |
| A Topological Perspective on Demystifying GNN-Based Link Prediction Performance Y Wang, T Zhao, Y Zhao, Y Liu, X Cheng, N Shah, T Derr International Conference on Learning Representations (ICLR) 2024, 2023 | 5 | 2023 |
| Quantifying the Interdependency Strength Across Critical Infrastructure Systems Using A Dynamic Network Flow Redistribution Model. Y Wang, J Yu, H Baroud Proceedings of the 30th European Safety and Reliability Conference and 15th …, 2020 | 4 | 2020 |
| A data-integration analysis on road emissions and traffic patterns A Qu, Y Wang, Y Hu, Y Wang, H Baroud Driving Scientific and Engineering Discoveries Through the Convergence of …, 2020 | 4 | 2020 |
Tyler DerrVanderbilt University在 vanderbilt.edu 的电子邮件经过验证
