Abstract: Graph learning-based multi-modal integration and classification is one of the most challenging tasks for disease prediction. To effectively offset the negative impact among modalities in the ...

Abstract: Knowledge graph embedding is efficient method for reasoning over known facts and inferring missing links. Existing methods are mainly triplet-based or graph-based. Triplet-based approaches ...

It has long been suspected that the relative abundance of specific nutrients can affect cognitive processes and emotions. Newly described influences of dietary factors on neuronal function and ...

这个Python脚本可以帮助你生成一个函数调用图，以便于了解代码的执行流程。对于大型项目或者新接手的项目，这会是一个非常有用的工具。 如果不指定 -d 参数，脚本将分析当前目录。 脚本将生成一个函数调用图，并保存为PNG格式的图片。图片的名字将是主 ...

GraphAny is a fully-inductive model for node classification. A single trained GraphAny model performs node classification tasks on any graph with any feature and label spaces. Performance-wise, ...

Dr Mike McDonagh provides insight into the factors involved in choosing and processing suitable alternative antimony alloys for lead-acid battery ...