PhD Thesis

  • Nino Shervashidze
    Scalable graph kernels, Universität Tübingen, 2012.
    Link, Errata

Journal Papers

  • Nino Shervashidze and Francis Bach
    Learning the structure for structured sparsity, IEEE Transactions for Signal Processing, 63(18):4894-4902, 2015.
    PDF, Preprint, Code
  • Nino Shervashidze, Pascal Schweitzer, Erik Jan van Leeuwen, Kurt Mehlhorn and Karsten Borgwardt
    Weisfeiler-Lehman graph kernels, Journal of Machine Learning Research, 12(Sep):2539−2561, 2011.
    Paper, Supplementary material (data and code)
  • Gustavo Camps-Valls, Nino Shervashidze and Karsten Borgwardt
    Spatio-spectral Remote Sensing Image Classification with Graph Kernels, IEEE Geoscience and Remote Sensing Letters, Vol. 7(4), 741-745, 2010.

Conference Papers

  • Amr Ahmed, Nino Shervashidze, Shravan Narayanamurthi, Vanja Josifovski, and Alex Smola
    Distributed large-scale natural graph factorization, 23rd International World-Wide Web Conference (WWW 2013), 37-48, May 2013.
  • Nino Shervashidze and Karsten Borgwardt
    Fast subtree kernels on graphs, Advances in Neural Information Processing Systems 22 (NIPS 2009), 1660-1668, December 2009.
    Received the *Outstanding student paper award*.
    PDF, Video of my talk
  • Risi Kondor, Nino Shervashidze and Karsten Borgwardt
    The graphlet spectrum, Proceedings of the 26th Annual International Conference on Machine Learning (ICML 2009), 529-536, June 2009.
  • Nino Shervashidze, S.V.N. Vishwanathan, Tobias Petri, Kurt Mehlhorn and Karsten Borgwardt
    Efficient graphlet kernels for large graph comparison, Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AI & Statistics 2009), 488-495, April 2009.

Selected Peer-Reviewed Workshop Papers

  • Nino Shervashidze, Koji Tsuda
    Logistic regression for graph classification, in NIPS 2008 Workshop on Structured Input Structured Output (SISO 2008), December 2008.

Master's Thesis

  • Nino Shervashidze
    Régression logistique pour la classification des graphes et deux applications dans le cadre transductif, Master's Thesis, Université Pierre et Marie Curie (Paris 6), September 2008.