A Tool for an Analysis of the Dynamic Behavior of Logistic Systems with the Instruments of Complex Networks. - Thorben Funke; Till Becker (LDIC, 2018)

Statistical embedding for directed graphs. - Thorben Funke; Tian Guo 002; Alen Lancic; Nino Antulov-Fantulin (CoRR, 2019)

Low-dimensional statistical manifold embedding of directed graphs. - Thorben Funke; Tian Guo 002; Alen Lancic; Nino Antulov-Fantulin (ICLR, 2020)

An Adaptive Clustering Approach for Accident Prediction. - Rajjat Dadwal; Thorben Funke; Elena Demidova (ITSC, 2021)

Learnt Sparsification for Interpretable Graph Neural Networks. - Mandeep Rathee; Zijian Zhang 006; Thorben Funke; Megha Khosla; Avishek Anand (CoRR, 2021)

W-trace: robust and effective watermarking for GPS trajectories. - Rajjat Dadwal; Thorben Funke; Michael Nüsken; Elena Demidova (SIGSPATIAL/GIS, 2022)

Ego-Vehicle Speed Prediction with Walk-Ahead. - Philip Matesanz; Nicolas Tempelmeier; Michael Nolting; Thorben Funke (ITSC, 2022)

Using Vehicle Data to Enhance Prediction of Accident-Prone Areas. - Kelvin Sopnan Wowo; Rajjat Dadwal; Timo Graen; Andrea Fiege; Michael Nolting; Wolfgang Nejdl; Elena Demidova; Thorben Funke (ITSC, 2022)

BAGEL: A Benchmark for Assessing Graph Neural Network Explanations. - Mandeep Rathee; Thorben Funke; Avishek Anand; Megha Khosla (CoRR, 2022)

Releasing Graph Neural Networks with Differential Privacy Guarantees. - Iyiola E. Olatunji; Thorben Funke; Megha Khosla (Trans. Mach. Learn. Res., 2023)

Private Graph Extraction via Feature Explanations. - Iyiola E. Olatunji; Mandeep Rathee; Thorben Funke; Megha Khosla (Proc. Priv. Enhancing Technol., 2023)

The smashHitCore Ontology for GDPR-Compliant Sensor Data Sharing in Smart Cities. - Anelia Kurteva; Tek Raj Chhetri; Amar Tauqeer; Rainer Hilscher; Anna Fensel; Kevin Nagorny; Ana Correia 001; Albert Zilverberg; Stefan Schestakov; Thorben Funke; Elena Demidova (Sensors, 2023)

Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks. - Thorben Funke; Megha Khosla; Mandeep Rathee; Avishek Anand (IEEE Trans. Knowl. Data Eng., 2023)

Unsupervised Point Cloud Registration with Self-Distillation. - Christian Löwens; Thorben Funke; André Wagner; Alexandru Paul Condurache (BMVC, 2024)

Transferring Traffic Predictions to Urban Regions Without Target Data. - Stefan Schestakov; Simon Gottschalk 001; Nicolas Tempelmeier; Thorben Funke; Elena Demidova (ITSC, 2024)

RE-Trace : Re-identification of Modified GPS Trajectories. - Stefan Schestakov; Simon Gottschalk 001; Thorben Funke; Elena Demidova (ACM Trans. Spatial Algorithms Syst., 2024)

Towards Effective, Robust and Utility-preserving Watermarking of GPS Trajectories. - Rajjat Dadwal; Thorben Funke; Michael Nüsken; Elena Demidova (ACM Trans. Spatial Algorithms Syst., 2025)