| 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 | 68 | 2022 |
| 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 | 57 | 2022 |
| 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 | 31 | 2022 |
| 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 | 8 | 2023 |
| HiCHap: a package to correct and analyze the diploid Hi-C data H Luo, X Li, H Fu, C Peng BMC genomics 21, 1-13, 2020 | 7 | 2020 |
| Defective chromatin architectures in embryonic stem cells derived from somatic cell nuclear transfer impair their differentiation potentials DY Wu, X Li, QR Sun, CL Dou, T Xu, H He, H Luo, H Fu, GW Bu, B Luo, ... Cell Death & Disease 12 (12), 1085, 2021 | 3 | 2021 |
| DRLM: a robust drug representation learning method and its applications H Fu, C Zhao, X Niu, W Zhang IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (6 …, 2022 | 1 | 2022 |
| A robust drug representation learning model for eliminating cell specificity in gene expression profile and its application C Zhao, Z Huang, H Wang, H Fu, D Wang, Y Gao, H Zhu, X Niu, W Zhang 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 1 | 2021 |
| A Multi-classification Division-aggregation Framework for Fake News Detection W Zhang, H Fu, H Wang, Z Gong, P Zhou, D Wang IEEE Transactions on Big Data, 2024 | | 2024 |
