Temporal Knowledge Graph Completion with Time-sensitive Relations in Hypercomplex Space

arXiv:2403.02355v1 Announce Type: new
Abstract: Temporal knowledge graph completion (TKGC) aims to fill in missing facts within a given temporal knowledge graph at a specific time. Existing methods, operating in real or complex spaces, have demonstrated promising performance in this task. This paper advances beyond conventional approaches by introducing more expressive quaternion representations for TKGC within hypercomplex space. Unlike existing quaternion-based methods, our study focuses on capturing time-sensitive relations rather than time-aware entities. Specifically, we model time-sensitive relations through time-aware …

abstract advances arxiv beyond cs.ai cs.lg facts graph knowledge knowledge graph paper performance relations space spaces temporal type