SuperGATSyn: a super-node graph attention network for drug synergy prediction
Identifying synergistic drug combinations is crucial for cancer treatment but poses significant challenges due to combinatorial complexity and the time-consuming wet-lab validation. This study proposes SuperGATSyn, a super-node graph attention framework for drug synergy prediction. The model introduces a cell-feature s...