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 | 238 | 2021 |
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, 1-12, 2018 | 219 | 2018 |
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 | 135 | 2018 |
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 | 120 | 2019 |
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 | 84 | 2018 |
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 | 83 | 2019 |
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 | 64 | 2022 |
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 | 61 | 2021 |
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 | 51 | 2022 |
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 | 39 | 2018 |
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 | 34 | 2021 |
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 613, 507-523, 2022 | 28 | 2022 |
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 23 (4), bbac184, 2022 | 24 | 2022 |
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 | 21 | 2020 |
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 19 (5 …, 2021 | 16 | 2021 |
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 | 10 | 2018 |
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 | 9 | 2023 |
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 | 9 | 2018 |
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 | 7 | 2023 |
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 | 2 | 2023 |