Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks

1 code implementation • 15 Dec 2020 • Cunchao Zhu, Muhao Chen, Changjun Fan, Guangquan Cheng, Yan Zhan

Since such temporal knowledge graphs often suffer from incompleteness, it is important to develop time-aware representation learning models that help to infer the missing temporal facts.

Representation Learning