15.10.2020

Teaser image to Invited presentation at 1st CIKM 2020 Workshop on Combining Symbolic and Sub-symbolic Methods and their Applications (CSSA-CIKM 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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MCML at EMNLP 2026

MCML researchers are represented with 33 papers at EMNLP 2026 (21 Main, 11 Findings, and 1 Workshop).

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2020-10-15 - Last modified: 2020-10-15

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

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