Abstract: Memory performance bottlenecks the execution of graph applications, from traditional graph analytics (GA) to rapidly evolving graph neural networks (GNNs), due to the large size and ...

The purpose of this research study is to present and explore the key properties of some new operations on vague graphs, including rejection, maximal product, symmetric difference, and residue product.

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

Introduction: Traditional Graph Pattern Matching (GPM) research mainly focuses on improving the accuracy and efficiency of complex network analysis and fast subgraph retrieval. Despite their ability ...

This is a simple Java console application that uses a graph to represent a social network. Each person is a node, and each friendship is an edge connecting two nodes. This project demonstrates how ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

ABSTRACT: Let G be a connected graph with vertex set V( G ) . Then the degree resistance distance of G is defined as D R ( G )= ∑ { u,v }⊆V( G ) ( d( u )+d( v ) )R( u,v ) , where d( u ) is the degree ...