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 ...

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 ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

Previous research on reasoning frameworks in large language models (LLMs) has explored various approaches to enhance problem-solving capabilities. Chain-of-Thought (CoT) introduced articulated ...

Formally, this directed weighted graph G = (N, E) will consist of a set of nodes N and a set of unweighted/weighted edges E. Explicit assumption for N and E: copyable, comparable (i.e. you can do ==, ...

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 ...