| HINGRL: predicting drug–disease associations with graph representation learning on heterogeneous information networks BW Zhao, L Hu, ZH You, L Wang, XR Su Briefings in bioinformatics 23 (1), bbab515, 2022 | 82 | 2022 |
| A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2 X Su, L Hu, Z You, P Hu, L Wang, B Zhao Briefings in bioinformatics 23 (1), bbab526, 2022 | 61 | 2022 |
| Attention-based knowledge graph representation learning for predicting drug-drug interactions X Su, L Hu, Z You, P Hu, B Zhao Briefings in bioinformatics 23 (3), bbac140, 2022 | 58 | 2022 |
| Biomedical knowledge graph embedding with capsule network for multi-label drug-drug interaction prediction X Su, Z You, D Huang, L Wang, L Wong, B Ji, B Zhao IEEE Transactions on Knowledge and Data Engineering 35 (6), 5640-5651, 2022 | 54 | 2022 |
| Fusing higher and lower-order biological information for drug repositioning via graph representation learning BW Zhao, L Wang, PW Hu, L Wong, XR Su, BQ Wang, ZH You, L Hu IEEE Transactions on Emerging Topics in Computing, 2023 | 44 | 2023 |
| SANE: a sequence combined attentive network embedding model for COVID-19 drug repositioning X Su, Z You, L Wang, L Hu, L Wong, B Ji, B Zhao Applied Soft Computing 111, 107831, 2021 | 31 | 2021 |
| A geometric deep learning framework for drug repositioning over heterogeneous information networks BW Zhao, XR Su, PW Hu, YP Ma, X Zhou, L Hu Briefings in Bioinformatics 23 (6), bbac384, 2022 | 24 | 2022 |
| A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction L Wang, L Wong, Z Li, Y Huang, X Su, B Zhao, Z You Briefings in Bioinformatics 23 (5), bbac388, 2022 | 24 | 2022 |
| iGRLDTI: an improved graph representation learning method for predicting drug–target interactions over heterogeneous biological information network BW Zhao, XR Su, PW Hu, YA Huang, ZH You, L Hu Bioinformatics 39 (8), btad451, 2023 | 21 | 2023 |
| NSECDA: natural semantic enhancement for circRNA-disease association prediction L Wang, L Wong, ZH You, DS Huang, XR Su, BW Zhao IEEE Journal of Biomedical and Health Informatics 26 (10), 5075-5084, 2022 | 18 | 2022 |
| Predicting drug-target interactions over heterogeneous information network X Su, P Hu, H Yi, Z You, L Hu IEEE Journal of Biomedical and Health Informatics 27 (1), 562-572, 2022 | 15 | 2022 |
| In silico drug repositioning using deep learning and comprehensive similarity measures HC Yi, ZH You, L Wang, XR Su, X Zhou, TH Jiang BMC bioinformatics 22, 1-15, 2021 | 11 | 2021 |
| Multi-view heterogeneous molecular network representation learning for protein–protein interaction prediction XR Su, L Hu, ZH You, PW Hu, BW Zhao BMC bioinformatics 23 (1), 234, 2022 | 9 | 2022 |
| Incorporating higher order network structures to improve miRNA–disease association prediction based on functional modularity Y He, Y Yang, X Su, B Zhao, S Xiong, L Hu Briefings in Bioinformatics 24 (1), bbac562, 2023 | 8 | 2023 |
| An efficient computational model for large-scale prediction of protein–protein interactions based on accurate and scalable graph embedding XR Su, ZH You, L Hu, YA Huang, Y Wang, HC Yi Frontiers in genetics 12, 635451, 2021 | 7 | 2021 |
| Fuzzy-based deep attributed graph clustering Y Yang, X Su, B Zhao, GD Li, P Hu, J Zhang, L Hu IEEE Transactions on Fuzzy Systems, 2023 | 6 | 2023 |
| Discovering consensus regions for interpretable identification of rna n6-methyladenosine modification sites via graph contrastive clustering G Li, B Zhao, X Su, Y Yang, P Hu, X Zhou, L Hu IEEE Journal of Biomedical and Health Informatics, 2024 | 5 | 2024 |
| ROFDT: Identification of drug–target interactions from protein sequence and drug molecular structure using rotation forest Y Wang, L Wang, L Wong, B Zhao, X Su, Y Li, Z You Biology 11 (5), 741, 2022 | 4 | 2022 |
| Prediction of LncRNA-disease associations based on network representation learning X Su, Z You, H Yi 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 4 | 2020 |
| RLFDDA: a meta-path based graph representation learning model for drug–disease association prediction ML Zhang, BW Zhao, XR Su, YZ He, Y Yang, L Hu BMC bioinformatics 23 (1), 516, 2022 | 3 | 2022 |
Allen, Lun HuProfessor, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of SciencesVerified email at ms.xjb.ac.cn
