Learning With Temporal Knowledge Graphs

MCML Authors

Yunpu Ma

Dr.

→ Group Volker Tresp
 Database Systems, Data Mining and AI

Volker Tresp

Prof. Dr.

Principal Investigator

Database Systems, Data Mining and AI

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.

inproceedings

---

Workshop @CIKM 2020

Workshop at the 29th ACM International Conference on Information and Knowledge Management. Galway, Ireland, Oct 19-23, 2020. Invited talk.

---

Authors

Y. Ma • Z. Han • V. Tresp

---

Links

PDF

---

Research Area

 A3 | Computational Models