Abstract: Graph theory and machine learning are revolutionary approaches to medical image analysis that leverage the structural nuances of medical data for better diagnostic accuracy. This research ...

Data security involves implementing strategies to safeguard digital information against unauthorized disclosure and modification across computing and communication infrastructures. Given the ...

Some health experts believe the controversial claims made by U.S. Health and Human Services Secretary Robert F. Kennedy Jr. might be due to an obsolete medical theory. Known as miasma theory, this ...

The recent past has seen an increasing interest in Heterogeneous Graph Neural Networks (HGNNs), since many real-world graphs are heterogeneous in nature, from citation graphs to email graphs. However, ...

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: Predicting molecular properties is essential for advancing for advancing drug discovery and design. Recently, Graph Neural Networks (GNNs) have gained prominence due to their ability to ...

A high-performance library for graph algorithms written in Java. It contains a wide collection of optimized algorithms and data structures for a range of problems on graphs.

A custom Godot UI node that arranges its children and sub-children as a tree graph and optionally draws connecting lines between them.