The comparison with SSF-DDI shows p-values ranging from 0.0001 to 0.0008 across different datasets, while comparisons with GMPNN-CS consistently show p-values of 0.0001, indicating highly significant improvements.
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Graph former-CL: A novel graph transformer with contrastive learning framework for enhanced drug-drug interaction prediction.
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