Search Results for author: Julian Busch

Found 4 papers, 2 papers with code

NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification

no code implementations5 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.

General Classification Malware Detection

Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering

1 code implementation27 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.

Metric Learning

PushNet: Efficient and Adaptive Neural Message Passing

1 code implementation4 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.

Inductive Bias Node Classification +1

Semi-Supervised Learning on Graphs Based on Local Label Distributions

no code implementations15 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.

General Classification Node Classification

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