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
06.11.2024
MCML researchers with 20 papers at EMNLP 2024
Conference on Empirical Methods in Natural Language Processing (EMNLP 2024). Miami, FL, USA, 12.11.2024 - 16.11.2024
01.10.2024
MCML researchers with 16 papers at MICCAI 2024
27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024). Marrakesh, Morocco, 06.10.2024 - 10.10.2024
26.09.2024
MCML researchers with 18 papers at ECCV 2024
18th European Conference on Computer Vision (ECCV 2024). Milano, Italy, 29.09.2024 - 04.10.2024
10.09.2024
MCML at ECML-PKDD 2024
We are happy to announce that MCML researchers are represented at ECML-PKDD 2024.
20.08.2024
MCML researchers with two papers at KDD 2024
30th ACM SIGKDD International Conference on Knowledge Discovery and Data (KDD 2024). Barcelona, Spain, 25.08.2024 - 29.08.2024