3 papers
cs.LG2026
General Semantic Knowledge Infusion for Spatio-Temporal Traffic Forecasting
Mattis thor Straten, Yannick Wolker, Steffen Strohm +3
Although Graph Neural Networks (GNNs) have made significant advances in spatio-temporal traffic forecasting, their performance is limited when they rely solely on sensor proximity…
cs.LG2025
SUSTeR: Sparse Unstructured Spatio Temporal Reconstruction on Traffic Prediction
Yannick Wölker, Christian Beth, Matthias Renz +1
Mining spatio-temporal correlation patterns for traffic prediction is a well-studied field. However, most approaches are based on the assumption of the availability of and accessib…
q-bio.MN2024
Discovering Motifs to Fingerprint Multi-Layer Networks: a Case Study on the Connectome of C. Elegans
Deepak Sharma, Matthias Renz, Philipp Hövel
Motif discovery is a powerful and insightful method to quantify network structures and explore their function. As a case study, we present a comprehensive analysis of regulatory mo…