Hinrikus Wolf

According to our database, Hinrikus Wolf authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

End-to-End Reinforcement Learning of Curative Curtailment with Partial Measurement Availability.

Hinrikus Wolf, Luis Böttcher, Sarra Bouchkati, Philipp Lutat, Jens Breitung, Bastian Jung, Tina Möllemann, Viktor Todosijevic, Jan Schiefelbein-Lach, Oliver Pohl, Andreas Ulbig, Martin Grohe

CoRR, 2024

2023

Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing.

Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe

Trans. Mach. Learn. Res., 2023

Structural Node Embeddings with Homomorphism Counts.

Hinrikus Wolf, Luca Oeljeklaus, Pascal Kühner, Martin Grohe

CoRR, 2023

2022

Solving AC Power Flow with Graph Neural Networks under Realistic Constraints.

Luis Böttcher, Hinrikus Wolf, Bastian Jung, Philipp Lutat, Marc Trageser, Oliver Pohl, Andreas Ulbig, Martin Grohe

CoRR, 2022

2021

Graph Learning with 1D Convolutions on Random Walks.

Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe

CoRR, 2021

The Effects of Randomness on the Stability of Node Embeddings.

Tobias Schumacher, Hinrikus Wolf, Martin Ritzert, Florian Lemmerich, Martin Grohe, Markus Strohmaier

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2020

Graph Neural Networks for Maximum Constraint Satisfaction.

Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe

Frontiers Artif. Intell., 2020

The Effects of Randomness on the Stability of Node Embeddings.

Tobias Schumacher, Hinrikus Wolf, Martin Ritzert, Florian Lemmerich, Jan Bachmann, Florian Frantzen, Max Klabunde, Martin Grohe, Markus Strohmaier

CoRR, 2020

2019

RUN-CSP: Unsupervised Learning of Message Passing Networks for Binary Constraint Satisfaction Problems.

Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe

CoRR, 2019