To alleviate the local receptive issue of Graph Convolutional Network (GCN), Transformers have been exploited to capture the long-range dependence of nodes for graph data representation and learning.

Most existing methods for predicting drug-drug interactions (DDI) predominantly concentrate on capturing the explicit relationships among drugs, overlooking the valuable implicit correlations present ...