. . . . "Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data" . . . . . . . . . . . "Biran et al. Back-patching Approach" . . "Dernbach et al. Neighborhood Partitioning and Encoding Scheme" . . "Graph2Text Strategy" . . "GraphLLM" . . "GraphRAG" . . . "This method proposes and evaluates representing Knowledge Graphs using programming language (Python) code, both statically and dynamically. This representation is then used to either prompt or fine-tune Large Language Models, aiming to deeply integrate KG structures and semantics into LLM representations. The goal is to enhance LLM multi-hop reasoning by enabling the LLM to effectively represent and process knowledge from both its natural language understanding and the structured KG input in a synergistic manner." . "Knowledge Graph Programming Language Representation for LLM Reasoning" . . . "Nie et al. Code-style In-Context Learning for KBQA" . . "Reasoning on Graph (RoG)" . . . "2026-02-26T15:54:25.193Z"^^ . . . "LLM-KG assessment for paper 10.48550/arXiv.2412.10654" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB" . "q2q14mbIlSHpgJGMrW91J8E7NPjW9q5XrqO8xjEsnf9UOW82imofLNwFVcGELm9S8Q9uvkcAdde/YajKHlU1ECbPt76iNp92ycnqUMqUMAU+k2EN5/eaOL/nejv5/EoRJ1GY3Tz8PWCrejMpgQS7LEzG0m0adZ4R8LcmrpJ07SdYNz+nO1wA1TZx5QRVDxxxstSCDtdsCDSWgSXEG3x0PPixaeeLrgMARGy51RUVeENH5OBkb4LhaqyJWToULCTWNvLWcTsnhkpGAR6h96uRyPcdVJh2zljG4k/Kx/24HTvh3OYPF4kfttrWyItqUO70yfMTcUs12MMdP07vfLKtRg==" . . .