Two-Step Graph Classification on the Basis of Hierarchical Graphs

Anthony Gillioz, Kaspar Riesen

2023

Abstract

A common method to solve the non-trivial task of classifying general graphs is to employ graph matching in conjunction with a distance- or similarity-based classifier. Unfortunately, optimal graph matching has a high computational complexity hindering its application on large graphs. In order to make matchings also feasible for larger graphs, it has been proposed to work on size-reduced graphs rather than on their original counterparts. In the present paper, we propose a novel method that is based on this idea to further reduce the processing time. In particular, we change the standard classification scheme into a two-step classification method. In the first step, we start with strongly reduced versions of the graphs – having a manageable amount of nodes – in order to prune as many graphs as possible. The second step – the actual classification – is then performed on the remaining graphs only (in their original size). We conduct experimental evaluations on five datasets to research the benefits and limitations of this novel two-step graph classification method. The main finding is that we can substantially speed up the graph matching while preserving satisfying classification accuracy.

Paper Citation

in Harvard Style

Gillioz A. and Riesen K. (2023). Two-Step Graph Classification on the Basis of Hierarchical Graphs. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-626-2, pages 296-303. DOI: 10.5220/0011657000003411

in Bibtex Style

@conference{icpram23,
author={Anthony Gillioz and Kaspar Riesen},
title={Two-Step Graph Classification on the Basis of Hierarchical Graphs},
booktitle={Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2023},
pages={296-303},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011657000003411},
isbn={978-989-758-626-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Two-Step Graph Classification on the Basis of Hierarchical Graphs
SN - 978-989-758-626-2
AU - Gillioz A.
AU - Riesen K.
PY - 2023
SP - 296
EP - 303
DO - 10.5220/0011657000003411