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Haiyang Yu
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Citado por
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Año
Explainability in graph neural networks: A taxonomic survey
H Yuan, H Yu, S Gui, S Ji
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
7972022
On explainability of graph neural networks via subgraph explorations
H Yuan, H Yu, J Wang, K Li, S Ji
International Conference on Machine Learning, 12241-12252, 2021
4592021
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, 2021
148*2021
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
1252023
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
H Yu, L Wang, B Wang, M Liu, T Yang, S Ji
International Conference on Machine Learning, 25684-25701, 2022
422022
Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian
H Yu, Z Xu, X Qian, X Qian, S Ji
Proceedings of the 40th International Conference on Machine Learning 12 …, 2023
232023
Qh9: A quantum hamiltonian prediction benchmark for qm9 molecules
H Yu, M Liu, Y Luo, A Strasser, X Qian, X Qian, S Ji
Advances in Neural Information Processing Systems 36, 40487-40503, 2023
172023
Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm
M Liu, H Yu, S Ji
arXiv preprint arXiv:2206.02059, 2022
3*2022
Spectro-Riemannian Graph Neural Networks
K Grover, H Yu, X Song, Q Zhu, H Xie, VN Ioannidis, C Faloutsos
arXiv preprint arXiv:2502.00401, 2025
2025
A Geometry-Aware Message Passing Neural Network for Modeling Aerodynamics over Airfoils
J Helwig, X Zhang, H Yu, S Ji
arXiv preprint arXiv:2412.09399, 2024
2024
Equivariant Graph Network Approximations of High-Degree Polynomials for Force Field Prediction
Z Xu, H Yu, M Bohde, S Ji
Transactions on Machine Learning Research (TMLR), 2024
2024
NetInfoF Framework: Measuring and Exploiting Network Usable Information
MC Lee, H Yu, J Zhang, VN Ioannidis, X Song, S Adeshina, D Zheng, ...
arXiv preprint arXiv:2402.07999, 2024
2024
Frontiers of Graph Neural Networks with DIG
S Ji, M Liu, Y Liu, Y Luo, L Wang, Y Xie, Z Xu, H Yu
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
2022
Learning to Discover Regulatory Elements for Gene Expression Prediction
X Su, H Yu, D Zhi, S Ji
The Thirteenth International Conference on Learning Representations, 0
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Artículos 1–14