| A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2 | 2 | 0.36 | 2022 |
| Attention-based Knowledge Graph Representation Learning for Predicting Drug-drug Interactions | 1 | 0.35 | 2022 |
| iGRLCDA: identifying circRNA-disease association based on graph representation learning | 1 | 0.35 | 2022 |
| Multi-view heterogeneous molecular network representation learning for protein–protein interaction prediction | 0 | 0.34 | 2022 |
| HINGRL: predicting drug-disease associations with graph representation learning on heterogeneous information networks | 1 | 0.35 | 2022 |
| SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioning | 0 | 0.34 | 2021 |
| Predicting Large-scale Protein-protein Interactions by Extracting Coevolutionary Patterns with MapReduce Paradigm. | 0 | 0.34 | 2021 |
| Detection of Drug-Drug Interactions Through Knowledge Graph Integrating Multi-attention with Capsule Network. | 0 | 0.34 | 2021 |
| Predicting miRNA-Disease Associations via a New MeSH Headings Representation of Diseases and eXtreme Gradient Boosting. | 0 | 0.34 | 2021 |
| A Multi-graph Deep Learning Model for Predicting Drug-Disease Associations. | 0 | 0.34 | 2021 |
| Predicting LncRNA-miRNA Interactions via Network Embedding with Integrated Structure and Attribute Information. | 0 | 0.34 | 2020 |
| A Novel Computational Method for Predicting LncRNA-Disease Associations from Heterogeneous Information Network with SDNE Embedding Model. | 0 | 0.34 | 2020 |
