MetaTKG++: Learning evolving factor enhanced meta-knowledge for temporal knowledge graph reasoning

Yuwei Xia, Mengqi Zhang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang, Liang Wang

Abstract: Highlights•We introduce the latent evolving factors for TKG prediction.•We propose a novel evolving factor enhanced Temporal Meta-Learner module.•Extensive experiments are conducted to show the effectiveness of MetaTKG++.