As many readers may know, graph theory is a fundamental branch of mathematics that
examines networks consisting of nodes and edges, with a focus on their paths, structures …

Higher-order interactions (HOIs) are ubiquitous in real-world complex systems and
applications. Investigation of deep learning for HOIs, thus, has become a valuable agenda …

Hypergraphs extend traditional graphs by allowing edges to connect multiple nodes, while
superhypergraphs further generalize this concept to represent even more complex …

As many readers may know, graph theory is a fundamental branch of mathematics that
explores networks made up of nodes and edges, focusing on their paths, structures, and …

This paper investigates the properties of tree-width and related graph width parameters for n-
SuperHyperGraphs, a broader generalization of hypergraphs. By exploring concepts such …

Graph theory is afundamental branch of mathematicsthat studiesnetworksconsisting of
nodes (vertices) and their connections (edges). Extensive research has been conducted on …

Graph characteristics are frequently examined using a variety of parameters, with ongoing
research focused on exploring these aspects. A fuzzy graph is a mathematical model in …

Network biology is an interdisciplinary field bridging computational and biological sciences
that has proved pivotal in advancing the understanding of cellular functions and diseases …

Hypergraphs are a natural and powerful choice for modeling group interactions in the real
world, which are often referred to as higher-order networks. For example, when modeling …

This paper investigates the properties of tree-width and related graph width parameters for-
SuperHyperGraphs, a broader generalization of hypergraphs. By exploring concepts such …