Table 1.
The attention-based models in DDIs prediction
| Model name | Attention-based model | Jointly used model or strategy | Reference |
|---|---|---|---|
| Att-BLSTM | Attention | LSTM | [92] |
| DDKG | Attention | Bi-LSTM | [95] |
| MuFRF | Multi-head Attention | CNN/Auto-encoder | [97] |
| SumGNN | Self-attention | GNN | [93] |
| MSEDDI | Self-attention | GNN | [96] |
| SSIM | Substructure Attention | MPNN | [48] |
| DGNN-DDI | Substructure Attention | DMPNN | [47] |
| DGAT-DDI | Directed GAT | [98] | |
| LaGAT | Link-aware GAT | [99] | |
| GNN-DDI | GAT | [100] | |
| AttentionDDI | Transformer | Siamese network | [69] |
| MDF-SA-DDI | Transformer | Siamese network, CNN/AE | [68] |
| AMDE | Transformer/MPAN | [94] |