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洞見 - Temporal Knowledge Graph
시간 지식 그래프에서 진화적 사건 체인 학습을 위한 Transformer 기반 추론
시간 지식 그래프에서 진화적 사건 체인을 학습하기 위한 Transformer 기반 추론 모델 ECEformer를 제안한다.
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).
Repeating-Local-Global History Network for Temporal Knowledge Graph Reasoning
The core message of this paper is to propose a model called Repeating-Local-Global History Network (RLGNet) that effectively integrates repeating, local, and global historical information to improve the accuracy of temporal knowledge graph reasoning.
