Predicting human microbe-drug associations via graph attention network with multiple kernel fusion
Sairu Shi, Shu Kong, Qingwei Zhang, Ji Zhang
This paper introduces GATMDA, a graph attention network with multiple kernel fusion to predict human microbe-drug associations, achieving the highest AUC and AUPR on benchmark datasets.
bioRxiv · Aug 15, 2023 · PreprintBioinformatics