2 code implementations • 16 Jul 2020 • Christopher Morris, Nils M. Kriege, Franka Bause, Kristian Kersting, Petra Mutzel, Marion Neumann
We provide Python-based data loaders, kernel and graph neural network baseline implementations, and evaluation tools.
1 code implementation • Machine Learning 2019 • Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting
We introduce propagation kernels, a general graph-kernel framework for efficiently measuring the similarity of structured data.
Ranked #8 on Graph Classification on NCI109
2 code implementations • AAAI-18 2018 • Muhan Zhang, Zhicheng Cui, Marion Neumann, Yixin Chen
Neural networks are typically designed to deal with data in tensor forms.
Ranked #16 on Graph Classification on D&D
no code implementations • 2 Mar 2017 • Nils M. Kriege, Marion Neumann, Christopher Morris, Kristian Kersting, Petra Mutzel
On this basis we propose exact and approximative feature maps for widely used graph kernels based on the kernel trick.
1 code implementation • 13 Oct 2014 • Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting
We introduce propagation kernels, a general graph-kernel framework for efficiently measuring the similarity of structured data.