Evidence-based Directed Acyclic Graphs (DAGs) are effective tools to comprehensively visualize complex causal and biasing pathways in pharmacoepidemiologic research in rheumatology. This paper ...

Background Deterministic variables are variables that are fully explained by one or more parent variables. They are extremely common in the health and social sciences, typically arising in the ...

Small business owners looking to offer competitive retirement plans should consider self-directed SIMPLE IRAs. Plans like these provide greater investment flexibility than traditional options, making ...

Trophic coherence and non-normality are both ways of describing the overall directionality of directed graphs or networks. Trophic coherence can be regarded as a measure of how neatly a graph can be ...

Copyright: © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Cardiovascular diseases are ...

Graphs are mathematical structures that consist of a set of vertices (also known as nodes) and a set of edges connecting these vertices. Formally, a graph $G$ is ...

Abstract: In this work, we propose a spectral-based graph convolutional network for directed graphs. The proposed model employs the classic singular value decomposition (SVD) to perform signal ...

Impact Statement: Graph neural network is a popular modelling approach developed in recent years. They take into account the relationship information that exists in data to build better-performing ...

ABSTRACT: The feedback vertex set (FVS) problem is to find the set of vertices of minimum cardinality whose removal renders the graph acyclic. The FVS problem has applications in several areas such as ...