Artykuły udostępnione publicznie: - Haitao LinWięcej informacji
Niedostępny w żadnym miejscu: 1
Homophily-enhanced self-supervision for graph structure learning: Insights and directions
L Wu, H Lin, Z Liu, Z Liu, Y Huang, SZ Li
IEEE Transactions on Neural Networks and Learning Systems 35 (9), 12358 - 12372, 2023
Upoważnienia: National Natural Science Foundation of China
Dostępne w jakimś miejscu: 12
Moganet: Multi-order gated aggregation network
S Li, Z Wang, Z Liu, C Tan, H Lin, D Wu, Z Chen, J Zheng, SZ Li
The Twelfth International Conference on Learning Representations, 2023
Upoważnienia: National Natural Science Foundation of China
Graphmixup: Improving class-imbalanced node classification by reinforcement mixup and self-supervised context prediction
L Wu, J Xia, Z Gao, H Lin, C Tan, SZ Li
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
Upoważnienia: National Natural Science Foundation of China
Knowledge distillation improves graph structure augmentation for graph neural networks
L Wu, H Lin, Y Huang, SZ Li
Advances in Neural Information Processing Systems 35, 11815-11827, 2022
Upoważnienia: National Natural Science Foundation of China
Beyond homophily and homogeneity assumption: Relation-based frequency adaptive graph neural networks
L Wu, H Lin, B Hu, C Tan, Z Gao, Z Liu, SZ Li
IEEE Transactions on Neural Networks and Learning Systems 35 (6), 8497 - 8509, 2023
Upoważnienia: National Natural Science Foundation of China
Quantifying the knowledge in gnns for reliable distillation into mlps
L Wu, H Lin, Y Huang, SZ Li
International Conference on Machine Learning, 37571-37581, 2023
Upoważnienia: National Natural Science Foundation of China
Gnn cleaner: Label cleaner for graph structured data
J Xia, H Lin, Y Xu, C Tan, L Wu, S Li, SZ Li
IEEE Transactions on Knowledge and Data Engineering 36 (2), 640-651, 2023
Upoważnienia: National Natural Science Foundation of China
Extracting low-/high-frequency knowledge from graph neural networks and injecting it into mlps: An effective gnn-to-mlp distillation framework
L Wu, H Lin, Y Huang, T Fan, SZ Li
Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10351 …, 2023
Upoważnienia: National Natural Science Foundation of China
Functional-group-based diffusion for pocket-specific molecule generation and elaboration
H Lin, Y Huang, O Zhang, Y Liu, L Wu, S Li, Z Chen, SZ Li
Advances in Neural Information Processing Systems 36, 34603 - 34626, 2024
Upoważnienia: National Natural Science Foundation of China
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation
L Wu, H Lin, Z Gao, G Zhao, SZ Li
IEEE Transactions on Knowledge and Data Engineering 36 (9), 4375 - 4385, 2024
Upoważnienia: National Natural Science Foundation of China
PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching
H Lin, O Zhang, H Zhao, D Jiang, L Wu, Z Liu, Y Huang, SZ Li
ICML 2024 - International Conference on Machine Learning, 2024
Upoważnienia: National Natural Science Foundation of China
GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation
H Lin, L Wu, H Yufei, Y Liu, O Zhang, Y Zhou, R Sun, SZ Li
ICML 2024 - International Conference on Machine Learning, 2024
Upoważnienia: National Natural Science Foundation of China
Deep Lead Optimization: Leveraging Generative AI for Structural Modification
O Zhang, H Lin, H Zhang, H Zhao, Y Huang, CY Hsieh, P Pan, T Hou
Journal of the American Chemical Society 146 (46), 31357–31370, 2024
Upoważnienia: National Natural Science Foundation of China
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