author = {David Blumenthal and Sébastien Bougleux and Johann Gamper and Luc Brun}, title = {Ring Based Approximation of Graph Edit Distance}, booktitle = {Proceedins of Structural, Syntactic, and Statistical Pattern Recognition (SSPR)'2018}, year = 2018, pages= {293-303}, month = {August}, address = {Beijing}, organization = {IAPR}, editor="Bai, Xiao and Hancock, Edwin R. and Ho, Tin Kam and Wilson, Richard C. and Biggio, Battista and Robles-Kelly, Antonio", publisher = {Springer International Publishing}, isbn="978-3-319-97785-0", theme={pattern,ged}, url={PDF(local):=https://brunl01.users.greyc.fr/ARTICLES/sspr18ring-bged.pdf, HAL(PDF):=https://hal-normandie-univ.archives-ouvertes.fr/hal-01865194/file/sspr18ring-bged.pdf, HAL:=https://hal-normandie-univ.archives-ouvertes.fr/hal-01865194}, abstract={The graph edit distance (GED) is a flexible graph dissimilar-ity measure widely used within the structural pattern recognition field. A widely used paradigm for approximating GED is to define local structures rooted at the nodes of the input graphs and use these structures to transform the problem of computing GED into a linear sum assignment problem with error correction (LSAPE). In the literature, different local structures such as incident edges, walks of fixed length, and induced subgraphs of fixed radius have been proposed. In this paper, we propose to use rings as local structure, which are defined as collections of nodes and edges at fixed distances from the root node. We empirically show that this allows us to quickly compute a tight approximation of GED.}