In this survey we overview the definitions and methods for graph clustering, that is, finding
sets of “related” vertices in graphs. We review the many definitions for what is a cluster in a …

The purpose of this study is to survey the use of networks and network-based methods in
systems biology. This study starts with an introduction to graph theory and basic measures …

In this paper we survey methods for performing a comparative graph analysis and explain
the history, foundations and differences of such techniques of the last 50 years. While …

Inexact graph matching has been one of the significant research foci in the area of pattern
analysis. As an important way to measure the similarity between pairwise graphs error …

In this paper, we examine the main advances registered in the last ten years in Pattern
Recognition methodologies based on graph matching and related techniques, analyzing …

In recent years, the use of graph based object representation has gained popularity.
Simultaneously, graph edit distance emerged as a powerful and flexible graph matching …

In this paper, we propose a survey concerning the state of the art of the graph matching
problem, conceived as the most important element in the definition of inductive inference …

We propose a family of kernels between images, defined as kernels between their
respective segmentation graphs. The kernels are based on soft matching of subtree-patterns …

Web graphs are approximate snapshots of the web, created by search engines. They are
essential to monitor the evolution of the web and to compute global properties like …

This book is concerned with a fundamentally novel approach to graph-based pattern
recognition based on vector space embedding of graphs. It aims at condensing the high …