Till Hendrik Schulz

Orcid: 0000-0003-3163-325X

According to our database1, Till Hendrik Schulz authored at least 7 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Graph Neural Networks Can (Often) Count Substructures.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Learning Long Range Dependencies on Graphs via Random Walks.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Utilizing Constrained Homomorphisms in the Design of Efficient Graph Kernels
PhD thesis, 2024

On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2022
A generalized Weisfeiler-Lehman graph kernel.
Mach. Learn., 2022

Graph Filtration Kernels.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2018
Mining Tree Patterns with Partially Injective Homomorphisms.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018


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