MARS: Multi-hop Adaptive Retrieval and SPARQL Generation for KGQA
MARS is a scalable Knowledge Graph Question Answering (KGQA) approach that uses pattern-based graph retrieval and iterative context enrichment to generate SPARQL queries without requiring model fine-tuning. It replaces open-ended agentic exploration with a structured, fixed pipeline that links question entities to the KG and iteratively retrieves relevant information until the final query is grounded.