GenTKG: Generative Forecasting on Temporal Knowledge Graph

arXiv:2310.07793v3 Announce Type: replace-cross
Abstract: The rapid advancements in large language models (LLMs) have ignited interest in the temporal knowledge graph (tKG) domain, where conventional embedding-based and rule-based methods dominate. The question remains open of whether pre-trained LLMs can understand structured temporal relational data and replace them as the foundation model for temporal relational forecasting. Therefore, we bring temporal knowledge forecasting into the generative setting. However, challenges occur in the huge chasms between complex temporal graph data structure and sequential …

abstract arxiv cs.ai cs.cl cs.lg data domain embedding forecasting foundation foundation model generative graph knowledge knowledge graph language language models large language large language models llms question relational temporal them type