A review of prediction methods of drug interaction based on graph neural network
This paper summarizes the research progress of DDI prediction methods based on graph neural network in recent years,including the definition and classification of DDI prediction,the steps of DDI prediction method based on graph neural net-work model,commonly used data sets and evaluation indicators,as well as the future research direction and application prospect.The existing problems,such as model interpretability,are discussed,and the future research directions such as multi-modal infor-mation fusion are prospected.
drug interactiongraph neural networkdeep learningdrug therapy
万方数据
