D. Villemin, B. Gaüzére, L. Brun, and M. Mokhtari-brun, Graph kernels based on relevant patterns and cycle information for chemoinformatics, Proceedings of ICPR 2012, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00768652

H. Bunke, Error correcting graph matching: on the influence of the underlying cost function, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.9, pp.917-922, 1999.
DOI : 10.1109/34.790431

J. Dattorro, Convex Optimization and Euclidean Distance Geometry, 2005.

C. De-mauro, M. Diligenti, M. Gori, and M. Maggini, Similarity learning for graph-based image representations, Pattern Recognition Letters, vol.24, issue.8, pp.1115-1122, 2003.
DOI : 10.1016/S0167-8655(02)00258-1

T. Gärtner, P. A. Flach, and S. Wrobel, On Graph Kernels: Hardness Results and Efficient Alternatives, Proceedings of the 16th Annual Conference on Computational Learning Theory and the 7th Kernel Workshop, 2003.
DOI : 10.1007/978-3-540-45167-9_11

L. Benoit-gaüzère, D. Brun, and . Villemin, Two new graphs kernels in chemoinformatics, Pattern Recognition Letters, issue.0, p.2012

S. Jouili and S. Tabbone, Graph Matching Based on Node Signatures, GbRPR, pp.154-163, 2009.
DOI : 10.1080/01969727408546059

URL : https://hal.archives-ouvertes.fr/inria-00390288

S. Jouili and S. Tabbone, Graph Embedding Using Constant Shift Embedding, ICPR Contests, pp.83-92, 2010.
DOI : 10.1007/978-3-642-17711-8_9

URL : https://hal.archives-ouvertes.fr/inria-00526993

H. Kashima, K. Tsuda, and A. Inokuchi, Marginalized Kernels Between Labeled Graphs, Machine Learning, 2003.

P. Mahé and J. Vert, Graph kernels based on tree patterns for molecules, Machine Learning, pp.3-35, 2009.
DOI : 10.1007/s10994-008-5086-2

J. Ramon and T. Gärtner, Expressivity versus efficiency of graph kernels, First International Workshop on Mining Graphs, Trees and Sequences, pp.65-74, 2003.

P. Ren, R. Wilson, and E. Hancock, Graph Characteristics from the Ihara Zeta Function, Lecture Notes in Computer Science, vol.5342, pp.257-266, 2008.
DOI : 10.1007/978-3-540-89689-0_30

K. Riesen and H. Bunke, IAM Graph Database Repository for Graph Based Pattern Recognition and Machine Learning, SSPR 2008, pp.287-297, 2008.
DOI : 10.1007/978-3-540-89689-0_33

K. Riesen and H. Bunke, Approximate graph edit distance computation by means of bipartite graph matching, Image and Vision Computing, vol.27, issue.7, pp.950-959, 2009.
DOI : 10.1016/j.imavis.2008.04.004

V. Roth, J. Laub, M. Kawanabe, and J. M. Buhmann, Optimal cluster preserving embedding of nonmetric proximity data, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.12, pp.1540-1551, 2003.
DOI : 10.1109/TPAMI.2003.1251147

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

A. Torsello and E. R. Hancock, Graph embedding using tree edit-union, Pattern Recognition, vol.40, issue.5, pp.1393-1405, 2007.
DOI : 10.1016/j.patcog.2006.09.006