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Haiyang Yu
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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
5352022
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
3032021
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
113*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
492023
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
242022
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
72023
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, 2024
52024
Your neighbors are communicating: Towards powerful and scalable graph neural networks
M Liu, H Yu, S Ji
32022
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
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