| Few-shot Graph Learning for Molecular Property Prediction Z Guo, C Zhang, W Yu, J Herr, O Wiest, M Jiang, NV Chawla Proceedings of the Web Conference 2021, 2559-2567, 2021 | 189 | 2021 |
| What can large language models do in chemistry? a comprehensive benchmark on eight tasks T Guo, B Nan, Z Liang, Z Guo, N Chawla, O Wiest, X Zhang Advances in Neural Information Processing Systems 36, 59662-59688, 2023 | 142 | 2023 |
| Graph-based molecular representation learning Z Guo, K Guo, B Nan, Y Tian, RG Iyer, Y Ma, O Wiest, X Zhang, W Wang, ... International Joint Conference on Artificial Intelligence (IJCAI), 2023 | 81 | 2023 |
| A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods Z Zhang, W Yu, M Yu, Z Guo, M Jiang Conference of the European Chapter of the Association for Computational …, 2023 | 76 | 2023 |
| On the use of real-world datasets for reaction yield prediction M Saebi, B Nan, JE Herr, J Wahlers, Z Guo, AM Zurański, T Kogej, ... Chemical science 14 (19), 4997-5005, 2023 | 76 | 2023 |
| Learning MLPs on graphs: A unified view of effectiveness, robustness, and efficiency Y Tian, C Zhang, Z Guo, X Zhang, N Chawla The Eleventh International Conference on Learning Representations, 2022 | 74 | 2022 |
| Linkless link prediction via relational distillation Z Guo, W Shiao, S Zhang, Y Liu, NV Chawla, N Shah, T Zhao International Conference on Machine Learning (ICML), 12012-12033, 2023 | 61 | 2023 |
| GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction Z Guo, W Yu, C Zhang, M Jiang, NV Chawla Proceedings of the 29th ACM International Conference on Information …, 2020 | 51 | 2020 |
| What indeed can GPT models do in chemistry? A comprehensive benchmark on eight tasks T Guo, K Guo, Z Liang, Z Guo, NV Chawla, O Wiest, X Zhang arXiv preprint arXiv:2305.18365 3, 2023 | 50 | 2023 |
| RecipeRec: a heterogeneous graph learning model for recipe recommendation Y Tian, C Zhang, Z Guo, C Huang, R Metoyer, NV Chawla International Joint Conference on Artificial Intelligence (IJCAI), 2022 | 45 | 2022 |
| Boosting Graph Neural Networks via Adaptive Knowledge Distillation Z Guo, C Zhang, Y Fan, Y Tian, C Zhang, N Chawla Association for the Advancement of Artificial Intelligence (AAAI), 2023 | 37 | 2023 |
| Action Sequence Augmentation for Early Graph-based Anomaly Detection T Zhao, B Ni, W Yu, Z Guo, N Shah, M Jiang Proceedings of the 30th ACM International Conference on Information …, 2021 | 33* | 2021 |
| Link prediction with non-contrastive learning W Shiao, Z Guo, T Zhao, EE Papalexakis, Y Liu, N Shah International Conference on Learning Representations (ICLR), 2023 | 24 | 2023 |
| Hierarchical spatio-temporal graph neural networks for pandemic forecasting Y Ma, P Gerard, Y Tian, Z Guo, NV Chawla Proceedings of the 31st ACM International Conference on Information …, 2022 | 24 | 2022 |
| Nosmog: Learning noise-robust and structure-aware mlps on graphs Y Tian, C Zhang, Z Guo, X Zhang, NV Chawla arXiv preprint arXiv:2208.10010, 2022 | 22 | 2022 |
| Recipe2vec: Multi-modal recipe representation learning with graph neural networks Y Tian, C Zhang, Z Guo, Y Ma, R Metoyer, NV Chawla International Joint Conference on Artificial Intelligence (IJCAI), 2022 | 20 | 2022 |
| Improving generalizability of fake news detection methods using propensity score matching B Ni, Z Guo, J Li, M Jiang arXiv preprint arXiv:2002.00838, 2020 | 16 | 2020 |
| 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 | 14 | 2022 |
| Sentence-permuted Paragraph Generation W Yu, C Zhu, T Zhao, Z Guo, M Jiang Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021 | 13 | 2021 |
| Visual analysis of steady-state human mobility in cities L Shi, ZC Guo, T Jiang, R Fang, Y Chen, Y Zhao, X Zhang, M Dai Human-Centr Comput Inform Sci 11, 31, 2021 | 12* | 2021 |
Nitesh V Chawla, Fellow: ACM, IEEE,...Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre DameOverená e-mailová adresa na: nd.edu
