15.10.2020
Invited Presentation at 1st CIKM 2020 Workshop on Combining Symbolic and Sub-Symbolic Methods and Their Applications (CSSA-CIKM 2020)
Learning With Temporal Knowledge Graphs
MCML PI Volker Tresp, Yunpu Ma and Zhen Han review recently developed learning-based algorithms for temporal knowledge graphs completion and forecasting. Knowledge graphs, also known as episodic or time-dependent knowledge graphs are large-scale event databases that describe temporally evolving multi-relational data.
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01.10.2026
MCML Researchers Recognized with Awards at GCPR 2026
GCPR 2026: Best Paper Award with MCML PI Björn Ommer, plus Honorable Mentions with MCML Director Daniel Cremers and PI Riccardo Marin.
28.09.2026
Michael Hedderich Featured in Deutschlandfunk on Small Language Models
MCML PI Michael Hedderich is featured in Deutschlandfunk on the technology, potential, and growing relevance of small language models.
