Publikationen von N Shervashidze

Shervashidze, N.; Schweitzer, P.; van Leeuwen , E.; Mehlhorn, K.; Borgwardt, M.: Weisfeiler-Lehman Graph Kernels. The Journal of Machine Learning Research 12, S. 2539 - 2561 (2011)

Camps-Valls, G.; Shervashidze, N.; Borgwardt, K.: Spatio-Spectral Remote Sensing Image Classification With Graph Kernels. IEEE Geoscience and Remote Sensing Letters 7 (4), S. 741 - 745 (2010)

Shervashidze, N.; Borgwardt, K.: Fast subtree kernels on graphs. In: Advances in Neural Information Processing Systems 22, S. 1660 - 1668 (Hg. Bengio, Y.; Schuurmans, D.; Lafferty, J.; Williams, C.; Culotta, A.). 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, BC, Canada, 07. Dezember 2009 - 10. Dezember 2009. Curran, Red Hook, NY, USA (2010)

Lippert, C.; Shervashidze, N.; Stegle, O.: Relational models for generating labeled real-world graphs. In: 7th International Workshop on Mining and Learning with Graphs (MLG 2009). 7th International Workshop on Mining and Learning with Graphs (MLG 2009), Leuven, Belgium, 02. Juli 2009 - 04. Juli 2009. (2009)

Kondor, R.; Shervashidze, N.; Borgwardt, K.: The graphlet spectrum. In: ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning, S. 529 - 536 (Hg. Danyluk, A.; Bottou, L.; Littman, M.). 26th International Conference on Machine Learning (ICML 2009), Montreal, Canada, 14. Juni 2009 - 18. Juni 2009. ACM Press, New York, NY, USA (2009)

Shervashidze, N.; Vishwanathan, S.; Petri, T.; Mehlhorn, K.; Borgwardt, K.: Efficient Graphlet Kernels for Large Graph Comparison. In: Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), S. 488 - 495 (Hg. Van Dyk, D.; Welling, M.). Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), Clearwater Beach, FL, USA, 16. April 2009 - 18. April 2009. MIT Press, Cambridge, MA, USA (2009)

Klotzbücher, K.; Kobayashi, Y.; Shervashidze, N.; Stegle, O.; Müller-Myhsok, B.; Weigel, D.; Borgwardt, K.: Efficient branch-and-bound techniques for two-locus association mapping. In BMC Bioinformatics, 12 (Supplement 11), A3. Seventh International Society for Computational Biology (ISCB) Student Council Symposium 2011, Wien, Austria, 15. Juli 2011. BioMed Central (2011)

Borgwardt, K.; Shervashidze, N.: The Weisfeiler-Lehman Kernel. Computational Approaches for Analyzing Complex Biological Systems 2010, Tübingen, Germany (2010)

Shervashidze, N.; Smola, A.; Borgwardt, K.: Scalable graph kernels with approximate matching of subtree patterns. 18th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB 2010), Boston, MA, USA (2010)

Klotzbücher, K.; Kobayashi, Y.; Shervashidze, N.; Borgwardt, K.; Weigel, D.: A flowering-time gene network model for association analysis in Arabidopsis thaliana. German Conference on Bioinformatics (GCB 2009), Halle, Germany (2009)

Shervashidze, N.: Scalable graph kernels. Dissertation, 137 S., Eberhard-Karls-Universität, Tübingen, Germany (2012)