Graph Kernels
Leslie O’Bray*, Bastian Rieck* and Karsten Borgwardt (* = equal contributions)
Filtration Curves for Graph Representation (KDD 2021)
Karsten Borgwardt, Elisabetta Ghisu, Felipe Llinares-López, Leslie O'Bray, and Bastian Rieck
Graph Kernels: State-of-the-Art and Future Challenges (Foundations and Trends in Machine Learning, 2020)
Matteo Togninalli*, Elisabetta Ghisu*, Felipe Llinares-Lopez, Bastian Rieck, and Karsten Borgwardt (*=equal contributions)
Wasserstein Weisfeiler-Lehman Graph Kernels (NeurIPS 2019)
Bastian Rieck, Christian Bock and Karsten Borgwardt
A Persistent Weisfeiler–Lehman Procedure for Graph Classification (ICML 2019)
Mahito Sugiyama, Elisabetta Ghisu, Felipe Llinares-Lopez, Karsten Borgwardt
graphkernels: R and Python packages for graph comparison (Bioinformatics, 2017)
Aasa Feragen, Niklas Kasenburg, Jens Petersen, Marleen de Bruijne, Karsten Borgwardt
Scalable Kernels for Graphs with Continuous Attributes (NIPS 2013)
Nino Shervashidze, Pascal Schweitzer, Erik Jan van Leeuwen, Kurt Mehlhorn, Karsten Borgwardt
Weisfeiler-Lehman Graph Kernels (JMLR 2011)
Nino Shervashidze, SVN Vishwanathan, Tobias Petri, Kurt Mehlhorn, Karsten Borgwardt
Efficient Graphlet Kernels for Large Graph Comparison (AISTATS 2009)
S.V.N. Vishwanathan, Karsten Borgwardt, Nicol Schraudolph
Fast Computation of Graph Kernels (NIPS 2006)
Karsten Borgwardt, Cheng S. Ong, Stefan Schönauer, S.V.N. Vishwanathan, Alexander Smola and Hans-Peter Kriegel
