Graph Joint Representation Learning for Sound and Scalable Instantiation
RGRS is proposed, a unified neuro-symbolic framework that integrates rule-level reasoning with graph representation learning for scalable Horn rule instantiation and achieves consistently high accuracy with significant efficiency gains over symbolic and neuro-symbolic baselines.