Table 2.

The attention-based models in DDI, DTA and CPI research

Tool	Attention-based model	Jointly used model or strategy	Task	Reference
HyperAttentionDTI	Attention	CNN	DTI	[102]
GVDTI	Attention	VAE, GCN	DTI	[103]
HGDTI	Attention	Bi-LSTM	DTI	[104]
/	Attention	GCNN/Bi-LSTM	DTI	[108]
GCDTI	Attention	GNN/CNN	DTI	[105]
AttentionSiteDTI	Attention/GAT	GNN	DTI	[106]
GCHN-DTI	Attention	GCN	DTI	[132]
CSConv2d	Channel Attention/Spatial Attention	CNN	DTI	[101]
MHSADTI	Multi-Head Self-Attention/GAT		DTI	[22]
MHADTI	Hierarchical Attention	Multi-view Learning	DTI	[109]
MCL-DTI	Cross-attention/Multi-head Self-attention		DTI	[45]
ICAN	Cross-attention	CNN	DTI	[46]
DTI-MGNN	GAT	GCN	DTI	[110]
DTI-HETA	GAT	GCN	DTI	[111]
EDC-DTI	GAT	RWR	DTI	[112]
DTiGNN	attention	GNN/CNN	DTI	[107]
IMCHGAN	Heterogeneous GAT		DTI	[113]
MolTrans	Augmented Transformer		DTI	[114]
TransDTI	Transformer		DTI	[115]
FastDTI	Transformer	Multimodality	DTI	[133]
GEFA	Self-attention	GCN	DTA	[116]
MultiscaleDTA	Self-attention	CNN	DTA	[119]
GSATDTA	Graph–sequence Attention/Transformer	BiGRU/GNN	DTA	[120]
GraphATT-DTA	Attention	CNN/GNN	DTA	[121]
AttentionDTA	Attention	CNN	DTA	[118]
BindingSite-AugmentedDTA	Self-attention/GAT		DTA	[134]
NHGNN-DTA	Multi-head Self-attention	BiLSTM	DTA	[135]
ArkDTA	Cross-attention		DTA	[123]
CAPLA	Cross-attention		DTA	[122]
SEGSA_DTA	Supervised Attention	GCN	DTA	[60]
SAG-DTA	Self-attention	GCN	DTA	[117]
DTITR	Transformer/Cross-attention		DTA	[17]
ELECTRA-DTA	Transformer		DTA	[124]
MGPLI	Transformer	CNN/Highway Network	DTA	[71]
CPI prediction	Attention	GNN/CNN	CPI	[125]
SSGraphCPI	Attention	GNN/CNN	CPI	[127]
Perceiver CPI	Cross-attention/Self-attention	CNN	CPI	[128]
BACPI	GAT	CNN	CPI	[126]
DISAE	Transformer/ALBERT		CPI	[129]
CAT-CPI	Transformer	CNN	CPI	[130]
MDL-CPI	BERT	CNN/GNN/AE	CPI	[131]