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.
15.10.2020
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MCML Researchers With 22 Papers at ICML 2025
42nd International Conference on Machine Learning (ICML 2025). Vancouver, Canada, 13.07.2025 - 19.07.2025
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When Clinical Expertise Meets AI Innovation – With Michael Ingrisch
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