Invited presentation at CIKM 2020 Workshop CSSA
Learning with Temporal Knowledge Graphs
15.10.2020
Authors
Yunpu Ma, Zhen Han, Volker Tresp
1st Workshop on Combining Symbolic and Sub-symbolic Methods and their Applications (CSSA-CIKM-2020)
at the 29th ACM International Conference on Information and Knowledge Management (CIKM 2020),
19-23 October 2020, Virtual
Abstract
Temporal knowledge graphs, also known as episodic or time-dependent knowledge graphs, are large- scale event databases that describe temporally evolving multi-relational data. An episodic knowledge graph can be regarded as a sequence of semantic knowledge graphs incorporated with timestamps. In this talk, we review recently developed learning-based algorithms for temporal knowledge graphs completion and forecasting.