A Survey of Temporal Knowledge Graph Reasoning

With the rapid development of science and technology, people use communication, sensor, computer technology and other means to collect, process and analyze information. However, in the era of big data, static knowledge graph technology is difficult to effectively integrate massive amounts of information quickly and in real time. Temporal knowledge graph utilizes timestamp information elements to learn and mine knowledge effectively. Temporal knowledge graph reasoning technology can reason and predict future actions or development trends. This article introduces two ways of temporal knowledge graph reasoning technology, namely temporal knowledge graph reasoning for facial completion and temporal knowledge graph reasoning for prediction, and conducts a comparative analysis. In summary, this article aims to enable readers to deeply understand knowledge graph technology and its application in temporal knowledge graph reasoning, providing valuable references for research and application in related fields.