H. Fröhlich, J. K. Wegner, F. Sieker, and A. Zell, Optimal assignment kernels for attributed molecular graphs, Proceedings of the 22nd international conference on Machine learning , ICML '05, pp.225-232, 2005.
DOI : 10.1145/1102351.1102380

L. Benoit-gaüzère, D. Brun, and . Villemin, Two new graphs kernels in chemoinformatics, Pattern Recognition Letters, vol.33, issue.15, pp.2038-2047, 2012.
DOI : 10.1016/j.patrec.2012.03.020

L. Benoit-gaüzére, D. Brun, M. Villemin, and . Brun, Graph kernels based on relevant patterns and cycle information for chemoinformatics, Proceedings of ICPR 2012, pp.1775-1778, 2012.

T. Horváth, T. Gärtner, and S. Wrobel, Cyclic pattern kernels for predictive graph mining, Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '04, p.158, 2004.
DOI : 10.1145/1014052.1014072

P. Mahé and J. Vert, Graph kernels based on tree patterns for molecules, Machine Learning, pp.3-35, 2008.
DOI : 10.1007/s10994-008-5086-2

N. Shervaszide, Scalable Graph Kernels, 2012.

H. Toivonen, A. Srinivasan, R. King, S. Kramer, and C. Helma, Statistical evaluation of the Predictive Toxicology Challenge 2000-2001, Bioinformatics, vol.19, issue.10, pp.1183-1193, 2000.
DOI : 10.1093/bioinformatics/btg130

J. Vert, The optimal assignment kernel is not positive definite. CoRR, abs/0801, p.4061, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00218278

P. Vismara, Reconnaissance et représentation d'´ eléments structuraux pour la description d'objets complexes. Application l'´ elaboration de stratégies de synthèse en chimie organique, 1995.

P. Vismara, Union of all the minimum cycle bases of a graph, The Electronic Journal of Combinatorics, vol.4, issue.1, pp.73-87, 1997.