Shervashidze, N.
Scalable graph kernels
Eberhard Karls Universität Tübingen, Germany, October 2012 (phdthesis)
Shervashidze, N., Schweitzer, P., van Leeuwen, E., Mehlhorn, K., Borgwardt, M.
Weisfeiler-Lehman Graph Kernels
Journal of Machine Learning Research, 12, pages: 2539-2561, September 2011 (article)
Camps-Valls, G., Shervashidze, N., Borgwardt, K.
Spatio-Spectral Remote Sensing Image Classification With Graph Kernels
IEEE Geoscience and Remote Sensing Letters, 7(4):741-745, October 2010 (article)
Klotzbücher, K., Kobayashi, Y., Shervashidze, N., Borgwardt, K., Weigel, D.
A flowering-time gene network model for association analysis in Arabidopsis thaliana
2009(39):95-96, German Conference on Bioinformatics (GCB '09), September 2009 (poster)
Kondor, R., Shervashidze, N., Borgwardt, K.
The graphlet spectrum
In Proceedings of the 26th International Conference on Machine Learning (ICML 2009), pages: 529-536, (Editors: Danyluk, A. , L. Bottou, M. Littman), ACM Press, New York, NY, USA, 26th International Conference on Machine Learning (ICML), June 2009 (inproceedings)
Shervashidze, N., Vishwanathan, S., Petri, T., Mehlhorn, K., Borgwardt, K.
Efficient Graphlet Kernels for Large Graph Comparison
In JMLR Workshop and Conference Proceedings Volume 5: AISTATS 2009, pages: 488-495, (Editors: Van Dyk, D. , M. Welling), MIT Press, Cambridge, MA, USA, Twelfth International Conference on Artificial Intelligence and Statistics, April 2009 (inproceedings)
Shervashidze, N., Borgwardt, K.
Fast subtree kernels on graphs
In Advances in Neural Information Processing Systems 22, pages: 1660-1668, (Editors: Bengio, Y. , D. Schuurmans, J. Lafferty, C. Williams, A. Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS), 2009 (inproceedings)
Shervashidze, N., Tsuda, K.
Logistic Regression for Graph Classification
NIPS Workshop on "Structured Input - Structured Output" (NIPS SISO), December 2008 (talk)