Christian M. M. Frey

According to our database, Christian M. M. Frey authored at least 22 papers between 2016 and 2026.

Collaborative distances:

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

2026

Hierarchical structuring of bilaterally expanding subtrace patterns for efficient tree-based activity suffix prediction.

Simon Rauch, Christian M. M. Frey, Andrea Maldonado, Daniel Schuster, Gabriel M. Tavares, Thomas Seidl

Process Sci., December, 2026

Learning to Order: Task Sequencing as In-Context Optimization.

Jan Kobiolka, Christian M. M. Frey, Arlind Kadra, Gresa Shala, Josif Grabocka

CoRR, March, 2026

POP: Prior-fitted Optimizer Policies.

Jan Kobiolka, Christian M. M. Frey, Gresa Shala, Arlind Kadra, Erind Bedalli, Josif Grabocka

CoRR, February, 2026

End-to-End Compression for Tabular Foundation Models.

Guri Zabërgja, Rafiq Kamel, Arlind Kadra, Christian M. M. Frey, Josif Grabocka

CoRR, February, 2026

2025

Towards Reproducibility in Predictive Process Mining: SPICE - A Deep Learning Library.

Oliver Stritzel, Nick Hühnerbein, Simon Rauch, Itzel Zarate, Lukas Fleischmann, Moike Buck, Attila Lischka, Christian M. M. Frey

CoRR, December, 2025

SHAining on Process Mining: Explaining Event Log Characteristics Impact on Algorithms.

Andrea Maldonado, Christian M. M. Frey, Sai Anirudh Aryasomayajula, Ludwig Zellner, Stephan A. Fahrenkrog-Petersen, Thomas Seidl

Proceedings of the 7th International Conference on Process Mining, 2025

BEST: Bilaterally Expanding Subtrace Tree for Event Sequence Prediction.

Simon Rauch, Christian M. M. Frey, Andrea Maldonado, Thomas Seidl

Proceedings of the Business Process Management - 23rd International Conference, 2025

2024

Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms.

Philipp Jahn, Christian M. M. Frey, Anna Beer, Collin Leiber, Thomas Seidl

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Process-Aware Bayesian Networks for Sequential Event Log Queries.

Simon Rauch, Christian M. M. Frey, Ludwig Zellner, Thomas Seidl

Proceedings of the 6th International Conference on Process Mining, 2024

iGEDI: interactive Generating Event Data with Intentional Features.

Andrea Maldonado, Sai Anirudh Aryasomayajula, Christian M. M. Frey, Thomas Seidl

Proceedings of the Doctoral Consortium and Demo Track 2024 at the International Conference on Process Mining 2024 co-located with the 6th International Conference on Process Mining (ICPM 2024), 2024

GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining.

Andrea Maldonado, Christian M. M. Frey, Gabriel Marques Tavares, Nikolina Rehwald, Thomas Seidl

Proceedings of the Business Process Management - 22nd International Conference, 2024

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