We survey foundational features underlying modern graph query languages. We first
discuss two popular graph data models: edge-labelled graphs, where nodes are connected …

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 …

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

In this paper, we conduct a comprehensive study of Trees, Forests, and Paths within the
framework of Fuzzy and Neutrosophic Graphs. Graph theory, known for its wide-ranging …

Graph pattern matching is typically defined in terms of subgraph isomorphism, which makes
it an np-complete problem. Moreover, it requires bijective functions, which are often too …

Graph pattern matching is commonly used in a variety of emerging applications such as
social network analysis. These applications highlight the need for studying the following two …

Graph theory is a fundamental branch of mathematics that examines networks composed of
nodes (vertices) and connections (edges). This paper explores the concepts of permutation …

On one hand, compared with traditional relational and XML models, graphs have more
expressive power and are widely used today. On the other hand, various applications of …

Graph pattern matching is fundamental to social network analysis. Traditional techniques
are subgraph isomorphism and graph simulation. However, these notions often impose too …

The last few years witnessed significant advances in building automated or semi-automated
data quality, data cleaning and data integration systems powered by machine learning (ML) …