
Enhancing embedding-based TKGF models with LLMs improves zero-shot relational learning.


coremsg

zero-shot-relational-learning-on-temporal-knowledge-graphs-with-large-language-models


Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models


title_rewrite


The core message of this article is to propose a novel end-to-end framework, MRE, that integrates diverse multimodal information and knowledge graph structures to facilitate zero-shot relational learning, enabling the inference of missing triples for newly discovered relations without any associated training data.


leveraging-multimodal-information-for-zero-shot-relational-learning-in-knowledge-graphs


Leveraging Multimodal Information for Zero-Shot Relational Learning in Knowledge Graphs
