Papers by Heling Cai
zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models (2024.naacl-long)
Copied to clipboard
| Challenge: | Existing methods to forecast links on temporal knowledge graphs are embedding-based . but they face a strong challenge in modeling the unseen zero-shot relations . |
| Approach: | They propose to embed knowledge graphs (TKGF) entities and relations based on observed contexts into embedding-based methods to model unseen zero-shot relations. |
| Outcome: | The proposed methods show strong performance on traditional TKG forecasting benchmarks, but they face a strong challenge in modeling unseen zero-shot relations that have no prior graph context. |