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 002; Matthias Renz (ICDM Workshops, 2016)

Efficient Information Flow Maximization in Probabilistic Graphs (Extended Abstract). - Christian M. M. Frey; Andreas Züfle; Tobias Emrich; Matthias Renz (ICDE, 2018)

Efficient Information Flow Maximization in Probabilistic Graphs. - Christian M. M. Frey; Andreas Züfle; Tobias Emrich; Matthias Renz (IEEE Trans. Knowl. Data Eng., 2018)

MIRA: Multihop Relation Prediction in Temporal Knowledge Graphs. - Christian M. M. Frey; Yunpu Ma; Matthias Schubert (CoRR, 2021)

SEA: Graph Shell Attention in Graph Neural Networks. - Christian M. M. Frey; Yunpu Ma; Matthias Schubert (ECML/PKDD (2), 2022)

V-Coder: Adaptive AutoEncoder for Semantic Disclosure in Knowledge Graphs. - Christian M. M. Frey; Matthias Schubert (CoRR, 2022)

SCAR - Spectral Clustering Accelerated and Robustified. - Ellen Hohma; Christian M. M. Frey; Anna Beer 001; Thomas Seidl 001 (Proc. VLDB Endow., 2022)

Connecting the Dots - Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering. - Anna Beer 001; Andrew Draganov; Ellen Hohma; Philipp Jahn 001; Christian M. M. Frey; Ira Assent (KDD, 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 001 (ECML/PKDD (1), 2023)

Learning from complex networks. - Christian M. M. Frey (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., 2023)

GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining. - Andrea Maldonado 001; Christian M. M. Frey; Gabriel Marques Tavares; Nikolina Rehwald; Thomas Seidl 001 (BPM, 2024)

iGEDI: interactive Generating Event Data with Intentional Features. - Andrea Maldonado 001; Sai Anirudh Aryasomayajula; Christian M. M. Frey; Thomas Seidl 001 (ICPM Doctoral Consortium / Demo, 2024)

Process-Aware Bayesian Networks for Sequential Event Log Queries. - Simon Rauch; Christian M. M. Frey; Ludwig Zellner; Thomas Seidl 001 (ICPM, 2024)

Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms. - Philipp Jahn 001; Christian M. M. Frey; Anna Beer 001; Collin Leiber; Thomas Seidl 001 (ECML/PKDD (7), 2024)