@InProceedings{CI-BRUN-2010,


author = {Luc Brun and Donatello Conte and Pasquale Foggia and Mario Vento and Didier Villemin},
title = {Symbolic Learning vs. Graph Kernels: An Experimental Comparison in a Chemical Application},
booktitle = {Proceedings of the First International Workshop on Querying Graph Structured Data},
year = 2010,
address = {Novi Sad, Serbia},
month = {September},
publisher = {Springer},
theme={pattern},
url={paper(pdf) := https://brunl01.users.greyc.fr/ARTICLES/GraphQ2010BrunConte.pdf},
abstract = "In this paper we present a quantitative comparison
between two approaches, Graph Kernels and
Symbolic Learning, within a classification scheme.
The experimental case-study is the predictive
toxicology evaluation, that is the inference of the
toxic characteristics of chemical compounds from
their structure. The results demonstrate that both
approaches are comparables in terms of accuracy, but
present pros and cons that are discussed in the last
part of the paper."

 }