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ORCIDChristian M. M. Frey
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2020 – today
- 2025
[c11]Simon Rauch
, Christian M. M. Frey, Andrea Maldonado, Thomas Seidl:
BEST: Bilaterally Expanding Subtrace Tree for Event Sequence Prediction. BPM 2025: 415-432- [c10]Andrea Maldonado, Christian M. M. Frey, Sai Anirudh Aryasomayajula, Ludwig Zellner, Stephan A. Fahrenkrog-Petersen, Thomas Seidl:
SHAining on Process Mining: Explaining Event Log Characteristics Impact on Algorithms. ICPM 2025: 1-8 - [i6]Andrea Maldonado, Christian M. M. Frey, Sai Anirudh Aryasomayajula, Ludwig Zellner, Stephan A. Fahrenkrog-Petersen, Thomas Seidl:
SHAining on Process Mining: Explaining Event Log Characteristics Impact on Algorithms. CoRR abs/2509.08482 (2025) - 2024
- [c9]Andrea Maldonado, Christian M. M. Frey, Gabriel Marques Tavares, Nikolina Rehwald, Thomas Seidl:
GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining. BPM 2024: 221-237 - [c8]Andrea Maldonado, Sai Anirudh Aryasomayajula, Christian M. M. Frey, Thomas Seidl:
iGEDI: interactive Generating Event Data with Intentional Features. ICPM Doctoral Consortium / Demo 2024 - [c7]Simon Rauch, Christian M. M. Frey, Ludwig Zellner, Thomas Seidl:
Process-Aware Bayesian Networks for Sequential Event Log Queries. ICPM 2024: 161-168 - [c6]Philipp Jahn, Christian M. M. Frey, Anna Beer, Collin Leiber, Thomas Seidl:
Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms. ECML/PKDD (7) 2024: 3-21 - 2023
- [b1]Christian M. M. Frey:
Learning from complex networks. Ludwig Maximilian University of Munich, Germany, 2023 - [j3]Christian M. M. Frey, Alexander Jungwirth, Markus M. Frey, Rainer Kolisch:
The vehicle routing problem with time windows and flexible delivery locations. Eur. J. Oper. Res. 308(3): 1142-1159 (2023) - [c5]Anna Beer, Andrew Draganov, Ellen Hohma, Philipp Jahn, Christian M. M. Frey, Ira Assent:
Connecting the Dots - Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering. KDD 2023: 80-92 - [c4]Sandra Gilhuber, Julian Busch, Daniel Rotthues, Christian M. M. Frey, Thomas Seidl:
DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification. ECML/PKDD (1) 2023: 75-91 - [i5]Sandra Gilhuber, Julian Busch, Daniel Rotthues, Christian M. M. Frey, Thomas Seidl:
DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification. CoRR abs/2308.00146 (2023) - 2022
- [j2]Ellen Hohma, Christian M. M. Frey, Anna Beer, Thomas Seidl:
SCAR - Spectral Clustering Accelerated and Robustified. Proc. VLDB Endow. 15(11): 3031-3044 (2022) - [c3]Christian M. M. Frey, Yunpu Ma, Matthias Schubert:
SEA: Graph Shell Attention in Graph Neural Networks. ECML/PKDD (2) 2022: 326-343 - [i4]Christian M. M. Frey, Matthias Schubert:
V-Coder: Adaptive AutoEncoder for Semantic Disclosure in Knowledge Graphs. CoRR abs/2208.01735 (2022) - 2021
- [i3]Christian M. M. Frey, Yunpu Ma, Matthias Schubert:
SEA: Graph Shell Attention in Graph Neural Networks. CoRR abs/2110.10674 (2021) - [i2]Christian M. M. Frey, Yunpu Ma, Matthias Schubert:
MIRA: Multihop Relation Prediction in Temporal Knowledge Graphs. CoRR abs/2110.14284 (2021)
2010 – 2019
- 2018
- [j1]Christian M. M. Frey, Andreas Züfle, Tobias Emrich, Matthias Renz:
Efficient Information Flow Maximization in Probabilistic Graphs. IEEE Trans. Knowl. Data Eng. 30(5): 880-894 (2018) - [c2]Christian M. M. Frey, Andreas Züfle, Tobias Emrich, Matthias Renz:
Efficient Information Flow Maximization in Probabilistic Graphs (Extended Abstract). ICDE 2018: 1801-1802 - 2017
- [i1]Christian M. M. Frey, Andreas Züfle, Tobias Emrich, Matthias Renz:
Efficient Information Flow Maximization in Probabilistic Graphs. CoRR abs/1701.05395 (2017) - 2016
- [c1]Klaus Arthur Schmid, Christian M. M. Frey, Fengchao Peng, Michael Weiler, Andreas Züfle, Lei Chen, Matthias Renz:
TrendTracker: Modelling the Motion of Trends in Space and Time. ICDM Workshops 2016: 1145-1152
Coauthor Index
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