Kexin Han

Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs

2022 · arXiv (Cornell University)

Existing knowledge graph (KG) embedding models have primarily focused on static KGs. However, real-world KGs do not remain static, but rather evolve and grow in tandem with the development of KG applications. Consequently, new facts …