Mining Tree Patterns with Partially Injective Homomorphisms. - Till Hendrik Schulz; Tamás Horváth 001; Pascal Welke; Stefan Wrobel (ECML/PKDD (2), 2018)

Graph Filtration Kernels. - Till Hendrik Schulz; Pascal Welke; Stefan Wrobel (AAAI, 2022)

A generalized Weisfeiler-Lehman graph kernel. - Till Hendrik Schulz; Tamás Horváth 001; Pascal Welke; Stefan Wrobel (Mach. Learn., 2022)

On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks. - Paolo Pellizzoni; Till Hendrik Schulz; Dexiong Chen; Karsten M. Borgwardt (NeurIPS, 2024)

Utilizing Constrained Homomorphisms in the Design of Efficient Graph Kernels - Till Hendrik Schulz (2024)

Learning Long Range Dependencies on Graphs via Random Walks. - Dexiong Chen; Till Hendrik Schulz; Karsten M. Borgwardt (ICLR, 2025)

Graph Neural Networks Can (Often) Count Substructures. - Paolo Pellizzoni; Till Hendrik Schulz; Karsten M. Borgwardt (ICLR, 2025)