h1

 

Forschungsinteressen

- Machine Learning on Graphs

- Graph Neural Networks

- Node Embeddings

 

Publikationen

Quelle	Beteiligte
[Preprint] Solving AC Power Flow with Graph Neural Networks under Realistic Constraints, 2022 [DOI: 10.48550/ARXIV.2204.07000]	Böttcher, Luis Robert Wolf, Hinrikus Jung, Bastian Lutat, Philipp Leonard Trageser, Marc Roland Pohl, Oliver Ulbig, Andreas Grohe, Martin
[Buchbeitrag, Beitrag zu einem Tagungsband] The Effects of Randomness on the Stability of Node Embeddings In: Machine Learning and Principles and Practice of Knowledge Discovery in Databases : International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I / edited by Michael Kamp, Irena Koprinska, Adrien Bibal [u.a.], 197-215, 2021 [DOI: 10.1007/978-3-030-93736-2_16]	Schumacher, Tobias Wolf, Hinrikus (Corresponding author) Ritzert, Martin Lemmerich, Florian Grohe, Martin Strohmaier, Markus Bernhard
[Fachzeitschriftenartikel] Graph Neural Networks for Maximum Constraint Satisfaction In: Frontiers in artificial intelligence, 3, 580607, 2021 [DOI: 10.3389/frai.2020.580607]	Tönshoff, Jan Martin (Corresponding author) Ritzert, Martin Wolf, Hinrikus Grohe, Martin
[Preprint] The Effects of Randomness on the Stability of Node Embeddings, 2020	Schumacher, Tobias Wolf, Hinrikus Ritzert, Martin Lemmerich, Florian Bachmann, Jan Frantzen, Florian Klabunde, Max Grohe, Martin Strohmaier, Markus Bernhard