Software security vulnerabilities are one of the critical issues in the realm of computer
security. Due to their potential high severity impacts, many different approaches have been …

Graph matching, which refers to a class of computational problems of finding an optimal
correspondence between the vertices of graphs to minimize (maximize) their node and edge …

The field of graph neural networks (GNNs) has seen rapid and incredible strides over the
recent years. Graph neural networks, also known as deep learning on graphs, graph …

We consider the task of aligning two sets of points in high dimension, which has many
applications in natural language processing and computer vision. As an example, it was …

Many graph-based semi-supervised learning methods for large datasets have been
proposed to cope with the rapidly increasing size of data, such as Anchor Graph …

Graph matching is essential in several fields that use structured information, such as biology,
chemistry, social networks, knowledge management, document analysis and others. Except …

Abstract Service-oriented architectures and microservices define two ways of designing
software with the aim of dividing an application into loosely-coupled services that …

Engineering drawings are commonly used across different industries such as oil and gas,
mechanical engineering and others. Digitising these drawings is becoming increasingly …

This paper addresses the problem of matching common node correspondences among
multiple graphs referring to an identical or related structure. This multi-graph matching …

This paper presents a comprehensive literature review on point set registration. The state-of-
the-art modeling methods and algorithms for point set registration are discussed and …