Enhancing Temporal Knowledge Graph Reasoning by Learning Evolutionary Chains of Events with Transformer-based Models

The core message of this paper is to propose an innovative Transformer-based network, dubbed ECEformer, that learns the evolutionary chain of events (ECE) to enhance the performance of temporal knowledge graph reasoning (TKGR).