Graph matching and edit distance algorithms form a cornerstone of modern computational techniques used to quantify the similarity between structured data. These methods underpin a wide array of ...

Abstract: Graph matching, as an important query technology, has been widely applied in various fields. With the increasing of graph data, users choose to encrypt a large number of graphs and store ...

Abstract: In this paper, we propose a new graph matching algorithm based on mean field theory. We first convert the original graph matching problem which is a quadratic integer programming problem to ...

The ability to handle large scale graph data is crucial to an increasing number of applications. Much work has been dedicated to supporting basic graph operations such as subgraph matching, ...

The Quantum Alternating Operator Ansatz (QAOA+) framework has recently gained attention due to its ability to solve discrete optimization problems on noisy intermediate-scale quantum (NISQ) devices in ...

Capturing semantic and structural attributes of objects together with their spatial relationships is vital for achieving human-like scene understanding, thereby enhancing robotic tasks such as object ...

This project is a Python solution for the undirected, weighted Chinese Postman Problem (CPP), also known as the Route Inspection Problem. It was developed for an Algorithms & Data Structures course to ...

A puzzle that has long flummoxed computers and the scientists who program them has suddenly become far more manageable. A new algorithm efficiently solves the graph isomorphism problem, computer ...

In 1950 Edward Nelson, then a student at the University of Chicago, asked the kind of deceptively simple question that can give mathematicians fits for decades. Imagine, he said, a graph — a ...