Abstract: Detecting fraud in multi-relational graphs is a significant difficulty due to the complex nature of fraudulent activities and the inadequacies of conventional Graph Neural Networks (GNNs) in ...

Jane JaeYeon Pyo, a third-year Tepper School of Business doctoral student, has developed a way to measure the distances between financial statements and a novel method of interpreting them, offering a ...

Abstract: This paper proposes a multilayer graph model for community detection based on multiple observations. This scenario is common when different estimators are used to infer graph edges from ...

Data visualization is a powerful technique that transforms complex data into easily understandable visual representations. Let us explore how data visualization can help with graphs. Applying data ...

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. By walking a tightrope between order and chaos, researchers could one day make computer chips ...

DPABINet, a sophisticated enhancement of the DPABI software suite, streamlines the intricate analysis of brain networks through fMRI data, providing researchers of all expertise levels with ...

1 School of Basic Medical Sciences, Health Science Center, Ningbo University, Ningbo, China 2 Department of Human Anatomy, Nanjing Medical University, Nanjing, China Understanding the intricate ...