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
140 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
91 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
49 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
46 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
44 * 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
44 2022 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
42 2020 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
32 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
30 * 2021 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
28 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
20 2023 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
18 2023 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
18 2022 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
17 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
14 2022 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
13 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
13 2020 Sentence-permuted Paragraph Generation W Yu, C Zhu, T Zhao, Z Guo, M Jiang
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
12 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
11 * 2021 SD Z Guo, J Tao, S Chen, N Chawla, C Wang
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2022
5 2022 
Nitesh V Chawla, Fellow: ACM, IEEE,...Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre Dame在 nd.edu 的电子邮件经过验证
