| Heterogeneous graph masked autoencoders Y Tian, K Dong, C Zhang, C Zhang, NV Chawla Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9997-10005, 2023 | 48 | 2023 |
| Fakeedge: Alleviate dataset shift in link prediction K Dong, Y Tian, Z Guo, Y Yang, N Chawla Learning on Graphs Conference, 56: 1-56: 19, 2022 | 10 | 2022 |
| An optimized NL2SQL system for Enterprise data Mart K Dong, K Lu, X Xia, D Cieslak, NV Chawla Joint European conference on machine learning and knowledge discovery in …, 2021 | 3 | 2021 |
| Node Duplication Improves Cold-start Link Prediction Z Guo, T Zhao, Y Liu, K Dong, W Shiao, N Shah, NV Chawla arXiv preprint arXiv:2402.09711, 2024 | 1 | 2024 |
| Pure Message Passing Can Estimate Common Neighbor for Link Prediction K Dong, Z Guo, NV Chawla arXiv preprint arXiv:2309.00976, 2023 | 1 | 2023 |
| CORE: Data Augmentation for Link Prediction via Information Bottleneck K Dong, Z Guo, NV Chawla arXiv preprint arXiv:2404.11032, 2024 | | 2024 |
| You do not have to train Graph Neural Networks at all on text-attributed graphs K Dong, Z Guo, NV Chawla arXiv preprint arXiv:2404.11019, 2024 | | 2024 |
| Universal link predictor by In-context Learning K Dong, H Mao, Z Guo, NV Chawla arXiv preprint arXiv:2402.07738, 2024 | | 2024 |
Nitesh V Chawla, Fellow: ACM, IEEE,...Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre DameVerified email at nd.edu
