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
20.05.2025
Call for Papers for NLPOR - First Workshop on Bridging NLP and Public Opinion Research
This interdisciplinary workshop explores the powerful connections between Natural Language Processing (NLP) and Public Opinion Research (POR).
02.05.2025
MCML Researchers With Five Papers at AISTATS 2025
28th International Conference on Artificial Intelligence and Statistics (AISTATS 2025). Mai Khao, Thailand, 29.04.2025 - 05.05.2024
28.04.2025
MCML Delegation Visit to the USA
MCML delegation visits top US institutions to foster AI research collaborations in Generative and Medical AI, May 19–23, 2025.
28.04.2025
MCML Researchers With Eleven Papers at NAACL 2025
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2025). Albuquerque, NM, USA, 29.04.2025 - 04.05.2024
