Identifying protein functions is important for many biological applications. Since experimental functional characterization of proteins is time-consuming and costly, accurate and efficient computational methods for predicting protein functions are in great demand for generating the testable hypotheses guiding large-scale experiments.“

中文翻译：

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Graph2GO：一种用于推断蛋白质功能的多模式归因网络嵌入方法。


识别蛋白质功能对于许多生物学应用非常重要。由于蛋白质的实验功能表征既耗时又昂贵，因此非常需要准确有效的计算方法来预测蛋白质功能，以生成指导大规模实验的可检验假设。