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Feng Huang (黄锋)
Feng Huang (黄锋)
Verified email at mail.hzau.edu.cn
Title
Cited by
Cited by
Year
Predicting drug–disease associations through layer attention graph convolutional network
Z Yu, F Huang, X Zhao, W Xiao, W Zhang
Briefings in Bioinformatics 22 (4), bbaa243, 2021
2322021
Predicting drug-disease associations by using similarity constrained matrix factorization
W Zhang, X Yue, W Lin, W Wu, R Liu, F Huang, F Liu
BMC bioinformatics 19 (1), 1-12, 2018
2162018
SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions
W Zhang, X Yue, G Tang, W Wu, F Huang, X Zhang
PLoS computational biology 14 (12), e1006616, 2018
1342018
SFLLN: a sparse feature learning ensemble method with linear neighborhood regularization for predicting drug–drug interactions
W Zhang, K Jing, F Huang, Y Chen, B Li, J Li, J Gong
Information Sciences 497, 189-201, 2019
1202019
Predicting drug-disease associations and their therapeutic function based on the drug-disease association bipartite network
W Zhang, X Yue, F Huang, R Liu, Y Chen, C Ruan
Methods 145, 51-59, 2018
842018
A fast linear neighborhood similarity-based network link inference method to predict microRNA-disease associations
W Zhang, Z Li, W Guo, W Yang, F Huang
IEEE/ACM transactions on computational biology and bioinformatics 18 (2 …, 2019
832019
Tensor decomposition with relational constraints for predicting multiple types of microRNA-disease associations
F Huang, X Yue, Z Xiong, Z Yu, S Liu, W Zhang
Briefings in bioinformatics 22 (3), bbaa140, 2021
612021
MVGCN: data integration through multi-view graph convolutional network for predicting links in biomedical bipartite networks
H Fu, F Huang, X Liu, Y Qiu, W Zhang
Bioinformatics 38 (2), 426-434, 2022
602022
GraphCDR: a graph neural network method with contrastive learning for cancer drug response prediction
X Liu, C Song, F Huang, H Fu, W Xiao, W Zhang
Briefings in Bioinformatics 23 (1), bbab457, 2022
502022
The bi-direction similarity integration method for predicting microbe-disease associations
W Zhang, W Yang, X Lu, F Huang, F Luo
Ieee Access 6, 38052-38061, 2018
392018
CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction.
C Zhao, S Liu, F Huang, S Liu, W Zhang
IJCAI, 3756-3763, 2021
332021
Hierarchical Graph Representation Learning for the Prediction of Drug-Target Binding Affinity
Z Chu, F Huang, H Fu, Y Quan, X Zhou, S Liu, W Zhang
Information Sciences, 2022
272022
A heterogeneous network-based method with attentive meta-path extraction for predicting drug–target interactions
H Wang, F Huang, Z Xiong, W Zhang
Briefings in Bioinformatics, 2022
232022
Predicting Drug-Disease Associations via Multi-Task Learning Based on Collective Matrix Factorization
F Huang, Y Qiu, Q Li, S Liu, F Ni
Frontiers in bioengineering and biotechnology 8, 218, 2020
212020
A multimodal framework for improving in silico drug repositioning with the prior knowledge from knowledge graphs
Z Xiong, F Huang, Z Wang, S Liu, W Zhang
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021
152021
Prediction of drug-disease associations and their effects by signed network-based nonnegative matrix factorization
W Zhang, F Huang, X Yue, X Lu, W Yang, Z Li, F Liu
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
102018
Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction
Z Xiong, S Liu, F Huang, Z Wang, X Liu, Z Zhang, W Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 5339-5347, 2023
82023
HNGRNMF: Heterogeneous Network-based Graph Regularized Nonnegative Matrix Factorization for predicting events of microbe-disease associations
W Zhang, X Lu, W Yang, F Huang, B Wang, A Wang, Q Zhao
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
82018
HimGNN: a novel hierarchical molecular graph representation learning framework for property prediction
S Han, H Fu, Y Wu, G Zhao, Z Song, F Huang, Z Zhang, S Liu, W Zhang
Briefings in Bioinformatics 24 (5), bbad305, 2023
62023
Multi-view contrastive learning hypergraph neural network for drug-microbe-disease association prediction
L Liu, F Huang, X Liu, Z Xiong, M Li, C Song, W Zhang
Proceedings of the Thirty-Second International Joint Conference on …, 2023
22023
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Articles 1–20