. . . . "PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models" . . . . . . . . . . . . . . . . . . . . . . "ChatKBQA" . . "EffiQA" . . "EPERM" . . "FlexKBQA" . . "GCR" . . "GNN-RAG" . . "KD-CoT" . . "KnowPath" . . "LightPROF" . . "MindMap" . . "ORT" . . . "PathMind is a novel framework designed to enhance LLM performance in Knowledge Graph Reasoning (KGR). It achieves this by selectively guiding LLMs with important reasoning paths extracted and prioritized from KGs during the response generation (inference) phase, after fine-tuning the LLM to effectively utilize these paths. This mechanism enables the LLM to generate accurate and logically consistent answers for KGR tasks." . "PathMind" . . . "PoG" . . "RoG" . . "StructGPT" . . "SubgraphRAG" . . "SymAgent" . . "ToG" . . "ToG-2" . . . "2026-02-26T15:51:22.544Z"^^ . . . "LLM-KG assessment for paper 10.48550/arXiv.2511.14256" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB" . "UrUNSnCGC7CCyOWr2UAQn/yHAiakNdFPXssmiPh3mI5yTzzmy76IdcCGamNPj2F61V2+7J30b5QGubzZjS+AcuU45AoDVR/Uq1yeJU+CuhORRcMT7n+6V8JljY5Jnqq23zDaPh0Q+P8g5mGbt1OMebODdyK8R8cO4qUpP5+KoRqQPt5ysqGAjibETIiNR25bKOEE2UF1IwZaPRbxV8JO0mAhhTXYbGPJHMQdRrYXsmnqkPx8NfGqwztiwcWwCGaY4suMQyuQPyCYRDloXZRQED9aMSDwPqJG8F3OLr5kAl1R/942vLLnULU5DxjHsJhPHUqNcoyriN5OIkAAxfsicw==" . . .