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Zhichun Guo
Zhichun Guo
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Title
Cited by
Cited by
Year
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
1312021
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
412023
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
402023
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
392020
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
Neural Information Processing Systems (NeurIPS), 2023
372023
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
36*2023
Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency
Y Tian, C Zhang, Z Guo, X Zhang, N Chawla
International Conference on Learning Representations (ICLR), 2023
35*2023
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
292023
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
272023
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
25*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
202022
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
162020
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
152023
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
152022
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
132023
Sentence-permuted Paragraph Generation
W Yu, C Zhu, T Zhao, Z Guo, M Jiang
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
122021
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
112022
Visual analysis of steady-state human mobility in cities
L Shi, Z Guo, T Jiang, R Fang, Y Chen, Y Zhao, X Zhang, M Dai
Human-Centr Comput Inform Sci 11, 31, 2021
11*2021
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
102022
Exploring the Power of Social Hub Services
Q Gong, Y Chen, X Yu, C Xu, Z Guo, Y Xiao, F Ben Abdesslem, X Wang, ...
World Wide Web 22 (6), 2825-2852, 2019
52019
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Articles 1–20