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Shurui Gui
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Explainability in graph neural networks: A taxonomic survey
H Yuan, H Yu, S Gui, S Ji
IEEE transactions on pattern analysis and machine intelligence 45 (5), 5782-5799, 2022
5152022
DIG: A turnkey library for diving into graph deep learning research
M Liu, Y Luo, L Wang, Y Xie, H Yuan, S Gui, H Yu, Z Xu, J Zhang, Y Liu, ...
Journal of Machine Learning Research 22 (240), 1-9, 2021
113*2021
Featureflow: Robust video interpolation via structure-to-texture generation
S Gui, C Wang, Q Chen, D Tao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
812020
GOOD: A Graph Out-of-Distribution Benchmark
S Gui, X Li, L Wang, S Ji
Thirty-sixth Conference on Neural Information Processing Systems Datasets …, 2022
672022
Artificial intelligence for science in quantum, atomistic, and continuum systems
X Zhang, L Wang, J Helwig, Y Luo, C Fu, Y Xie, M Liu, Y Lin, Z Xu, K Yan, ...
arXiv preprint arXiv:2307.08423, 2023
452023
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization
S Gui, M Liu, X Li, Y Luo, S Ji
Thirty-seventh Conference on Neural Information Processing Systems, 2023
102023
FlowX: Towards explainable graph neural networks via message flows
S Gui, H Yuan, J Wang, Q Lao, K Li, S Ji
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
82023
Graph structure and feature extrapolation for out-of-distribution generalization
X Li, S Gui, Y Luo, S Ji
arXiv preprint arXiv:2306.08076, 2023
22023
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm
S Gui, X Li, S Ji
The Twelfth International Conference on Learning Representations, 2024
2024
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Articles 1–9