Abstract: The objective of question generation from knowledge graphs (KGQG) is to create coherent and answerable questions from a given subgraph and a specified answer entity. KGQG has garnered ...
Abstract: The goal of knowledge graph completion is to use the existing triplet information in the knowledge base to infer and fill those connections that have not been established. However, most ...
ProPEX-RAG is a prompt-driven, entity-guided RAG framework that emphasizes the role of prompt design in improving retrieval and reasoning across large knowledge graphs. Our approach unifies symbolic ...
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