Learning knowledge graph embedding with a dual-attention embedding network H Fang, Y Wang, Z Tian, Y Ye Expert Systems with Applications 212, 118806, 2023 | 17 | 2023 |
Predicting microbe–drug associations with structure-enhanced contrastive learning and self-paced negative sampling strategy Z Tian, Y Yu, H Fang, W Xie, M Guo Briefings in Bioinformatics 24 (2), bbac634, 2023 | 11 | 2023 |
MHADTI: predicting drug–target interactions via multiview heterogeneous information network embedding with hierarchical attention mechanisms Z Tian, X Peng, H Fang, W Zhang, Q Dai, Y Ye Briefings in Bioinformatics 23 (6), bbac434, 2022 | 10 | 2022 |
GOGCN: graph convolutional network on gene ontology for functional similarity analysis of genes Z Tian, H Fang, Z Teng, Y Ye IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (2 …, 2022 | 2 | 2022 |
A novel gene functional similarity calculation model by utilizing the specificity of terms and relationships in gene ontology Z Tian, H Fang, Y Ye, Z Zhu BMC bioinformatics 23 (Suppl 1), 47, 2022 | 2 | 2022 |
SWE: a novel method with semantic-weighted edge for measuring gene functional similarity Z Tian, H Fang, Y Ye, Z Zhu 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 1 | 2020 |
Meta-Collaboration-Based Semantic Contrast for Inductive Knowledge Representation Learning H Fang, K Cheng, R Zhang, Y Wang, Y Ye Available at SSRN 4881693, 0 | | |