Christian M. M. Frey

According to our database, Christian M. M. Frey authored at least 11 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

The vehicle routing problem with time windows and flexible delivery locations.

Christian M. M. Frey, Alexander Jungwirth, Markus M. Frey, Rainer Kolisch

Eur. J. Oper. Res., August, 2023

Learning from complex networks.

Christian M. M. Frey

PhD thesis, 2023

DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification.

Sandra Gilhuber, Julian Busch, Daniel Rotthues, Christian M. M. Frey, Thomas Seidl

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Connecting the Dots - Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering.

Anna Beer, Andrew Draganov, Ellen Hohma, Philipp Jahn, Christian M. M. Frey, Ira Assent

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

SCAR - Spectral Clustering Accelerated and Robustified.

Ellen Hohma, Christian M. M. Frey, Anna Beer, Thomas Seidl

Proc. VLDB Endow., 2022

V-Coder: Adaptive AutoEncoder for Semantic Disclosure in Knowledge Graphs.

Christian M. M. Frey, Matthias Schubert

CoRR, 2022

SEA: Graph Shell Attention in Graph Neural Networks.

Christian M. M. Frey, Yunpu Ma, Matthias Schubert

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

MIRA: Multihop Relation Prediction in Temporal Knowledge Graphs.

Christian M. M. Frey, Yunpu Ma, Matthias Schubert

CoRR, 2021

2018

Efficient Information Flow Maximization in Probabilistic Graphs.

Christian M. M. Frey, Andreas Züfle, Tobias Emrich, Matthias Renz

IEEE Trans. Knowl. Data Eng., 2018

Efficient Information Flow Maximization in Probabilistic Graphs (Extended Abstract).

Christian M. M. Frey, Andreas Züfle, Tobias Emrich, Matthias Renz

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2016

TrendTracker: Modelling the Motion of Trends in Space and Time.

Klaus Arthur Schmid, Christian M. M. Frey, Fengchao Peng, Michael Weiler, Andreas Züfle, Lei Chen, Matthias Renz

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016