1 code implementation • 31 Jul 2023 • Sandra Gilhuber, Julian Busch, Daniel Rotthues, Christian M. M. Frey, Thomas Seidl
Node classification is one of the core tasks on attributed graphs, but successful graph learning solutions require sufficiently labeled data.
no code implementations • 5 Mar 2021 • Julian Busch, Anton Kocheturov, Volker Tresp, Thomas Seidl
Malicious software (malware) poses an increasing threat to the security of communication systems as the number of interconnected mobile devices increases exponentially.
1 code implementation • 27 Sep 2020 • Julian Busch, Evgeniy Faerman, Matthias Schubert, Thomas Seidl
Consequently, our model benefits from a constant number of parameters and a constant-size memory footprint, allowing it to scale to considerably larger datasets.
1 code implementation • 4 Mar 2020 • Julian Busch, Jiaxing Pi, Thomas Seidl
We find that our models outperform competitors on all datasets in terms of accuracy with statistical significance.
no code implementations • 15 Feb 2018 • Evgeniy Faerman, Felix Borutta, Julian Busch, Matthias Schubert
Precisely, we propose a new node embedding which is based on the class labels in the local neighborhood of a node.