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.
Related

29.09.2025
Machine Learning for Climate Action - With Researcher Kerstin Forster
Kerstin Forster researches how AI can cut emissions, boost renewable energy, and drive corporate sustainability.

26.09.2025
Björn Ommer Featured in WELT
MCML PI Björn Ommer told WELT that AI can never be entirely neutral and that human judgment remains essential.

25.09.2025
Björn Schuller Featured in Macwelt Article
MCML PI Björn Schuller discusses in Macwelt how Apple Watch monitors health, detects subtle changes, and supports early intervention.

24.09.2025
MCML PI Björn Ommer Featured on ZDF NANO Talk
MCML PIs Björn Ommer & Alena Buyx discuss AI’s essence on ZDF NANO Talk, covering tech, ethics, and societal impact.