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
Related
18.08.2025
Mingyang Wang Receives Award at ACL 2025
MCML Junior Member Mingyang Wang wins SAC Highlights Award at ACL 2025 for research on cross-lingual consistency in language models.
18.08.2025
Digital Twins for Surgery - With Researcher Azade Farshad
Azade Farshad develops patient digital twins at TUM & MCML to improve personalized treatment, surgical planning, and training.
13.08.2025
From Physics Dreams to Algorithm Discovery - With Niki Kilbertus
Niki Kilbertus develops AI algorithms to uncover cause and effect, making science smarter and decisions in fields like medicine more reliable.
11.08.2025
AI for Dynamic Urban Mapping - With Researcher Shanshan Bai
Shanshan Bai uses geo-tagged social media and AI to map cities in real time. Part of KI Trans, funded by DATIpilot to support AI in education.
