Các bài viết có thể truy cập công khai - Jiaqi HanTìm hiểu thêm
Có tại một số nơi: 8
Multivariate time series anomaly detection and interpretation using hierarchical inter-metric and temporal embedding
Z Li, Y Zhao, J Han, Y Su, R Jiao, X Wen, D Pei
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Crystal structure prediction by joint equivariant diffusion
R Jiao, W Huang, P Lin, J Han, P Chen, Y Lu, Y Liu
Advances in Neural Information Processing Systems 36, 17464-17497, 2023
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Energy-motivated equivariant pretraining for 3d molecular graphs
R Jiao, J Han, W Huang, Y Rong, Y Liu
AAAI Conference on Artificial Intelligence (AAAI 2023), 2022
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Learning Physical Dynamics with Subequivariant Graph Neural Networks
J Han, W Huang, H Ma, J Li, JB Tenenbaum, C Gan
Advances in Neural Information Processing Systems (NeurIPS 2022), 2022
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Equivariant Graph Hierarchy-Based Neural Networks
J Han, W Huang, T Xu, Y Rong
Advances in Neural Information Processing Systems (NeurIPS 2022), 2022
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Subequivariant Graph Reinforcement Learning in 3D Environments
R Chen*, J Han*, F Sun, W Huang
International Conference on Machine Learning (ICML 2023), 2023
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Structure-Aware DropEdge Toward Deep Graph Convolutional Networks
J Han, W Huang, Y Rong, T Xu, F Sun, J Huang
IEEE Transactions on Neural Networks and Learning Systems, 2023
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning
Y Zhang, J Cen, J Han, Z Zhang, J Zhou, W Huang
Forty-first International Conference on Machine Learning, 2024
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
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