In recently year, temporal knowledge graphs (TKG), as an important branch of knowledge graphs, have made tremendous progress. Unlike traditional knowledge graphs, TKG embed temporal information, further enhancing their ability to represent the real world. A TKG is defined as a sequence of static knowledge graphs in different timestamps. TKG composed of quadruples (s,r,o,t), which represents relation r exists between head entity s and tail entity o at timestamp t.