Martin Happ

According to our database, Martin Happ authored at least 4 papers between 2018 and 2022.

Collaborative distances:

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

2022

Exploring the Limitations of Current Graph Neural Networks for Network Modeling.

Martin Happ, Jia Lei Du, Matthias Herlich, Christian Maier, Peter Dorfinger, José Suárez-Varela

Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

2021

The graph neural networking challenge: a worldwide competition for education in AI/ML for networks.

José Suárez-Varela, Miquel Ferriol Galmés, Albert López, Paul Almasan, Guillermo Bernárdez, David Pujol-Perich, Krzysztof Rusek, Loïck Bonniot, Christoph Neumann, François Schnitzler, François Taïani, Martin Happ, Christian Maier, Jia Lei Du, Matthias Herlich, Peter Dorfinger, Nick Vincent Hainke, Stefan Venz, Johannes Wegener, Henrike Wissing, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio

Comput. Commun. Rev., 2021

2020

Pseudo-Ranks: How to Calculate Them Efficiently in R.

Martin Happ, Georg Zimmermann, Edgar Brunner, Arne C. Bathke

J. Stat. Softw., 2020

2018

HRM: An R Package for Analysing High-dimensional Multi-factor Repeated Measures.

Martin Happ, Solomon W. Harrar, Arne C. Bathke

R J., 2018