Author

H. Kestler

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#graph neural networks Open access Sep 2026

Preserving the Motif-Relevant Structure in Graph Neural Networks: An Entropy-Aware Study of Aggregation and Depth

Graph neural networks have shown strong potential for learning structural representations of biological networks. However, repeated message passing may blur local structural signals that are relevant for motif- and graphlet-based analysis. This paper investigates multilabel graphlet classification in protein–protein in...

Lidija Kunst, Friedhelm Schwenker, H. Kestler · Entropy · 0 citations

Open access Aug 2026

Systematic detection of predictive gene sets by semantics-based selection

The findings demonstrate that Gene Ontology can be effectively leveraged for semantics-aware gene selection in clinical machine learning and offers a scalable strategy to uncover new, testable biological hypotheses–revealing gene functions that might otherwise remain hidden when examining only broadly selected gene com...

Peter Eckhardt-Bellmann, N. Taha, Silke D. Werle et al. · BMC Bioinformatics · 0 citations