. . . . "AI Agent-Driven Framework for Automated Product Knowledge Graph Construction in E-Commerce" . . . . . . . . . . . . . . . . "This framework uses LLM-powered agents to automate the entire process of Knowledge Graph construction. It involves three main stages: ontology creation and expansion (entity/relation discovery), ontology refinement (schema improvement), and knowledge graph population (instance extraction) from unstructured product descriptions, directly addressing KG construction tasks." . "AI Agent-Driven Framework" . . . "Presented by Bi et al., CodeKGC is a method that employs code LLMs and schema-aware prompts for generative KG tasks, enhanced by rationale-based generation." . "CodeKGC" . . "Proposed by Cui et al., KG-ICL is a method that combines in-context learning with a prompt graph and unified tokenization to achieve strong generalization across various KG tasks." . "KG-ICL" . . "Grapher is discussed as a method that generates end-to-end KGs by dividing tasks into entity and relation extraction using pre-trained Language Models." . "Grapher" . . "This method is mentioned as a prior LLM-based pipeline that aims to minimize human intervention in KG construction by incorporating competency-question-based ontology generation and LLM-driven evaluation." . "Kommineni et al.'s Pipeline" . . "Proposed by Lairgi et al., this method is presented as a zero-shot, plug-and-play system for distilling unstructured input into KGs with minimal post-processing." . "iText2KG" . . "This method by Ning et al. explores factual knowledge extraction for KGs via prompt templates and parameter tuning to improve accuracy." . "Ning et al.'s Factual Knowledge Extraction" . . "Xie et al. introduced PromptKG, a toolkit designed to integrate prompt-learning methods for various Knowledge Graph applications." . "PromptKG" . . "This embedding method, proposed by Xu et al., is tailored for product KGs and uses multimodal data to enhance KG completion and recommendation tasks." . "Xu et al.'s Embedding Method" . . "This method, presented by Yao et al., utilizes entity/relation prompts for triple classification and relation prediction, focusing on Knowledge Graph completion tasks." . "KG-LLM" . . "This method, proposed by Zhang et al., is discussed as a prior LLM-based approach for automated KG construction, which separates open information extraction, schema creation, and canonicalization." . "EDC Framework" . . "This framework, introduced by Zhu et al., is discussed as a multi-agent system that combines LLMs with external data for KG construction." . "AutoKG Framework" . . . "2026-03-13T16:02:03.618Z"^^ . . . . "LLM-KG assessment for paper 10.48550/arXiv.2511.11017" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB" . "iLSElcgqqBsWTLtic7yrdoX2HgsuT/lKI7xDXW5jloh4uxRGPdY72/D+LdNE8CNXSiWOI5ndpSWJhachzVbWHxLqG/f1ihRAQTBOQrQ2U49UvOZN5SXBLqMzk0inB3uXMduZBmiSk9EhOpn+KY/DNcZOHnMtpE0gXLkOxmVdvtIlpQzr2QsLAdj02YMEC01ndKNcmyXL8wvcUrTnmHreZjxjeaAzElGlCmRV0+yVNisxrrgm0Ur+Y5YwDmxMtRob2HFlJkjc1l/mkeMOe5IRHEp87HyMppCQhl0WW4lR9XkHfdbYrafIummDmzfrvg1R+JnTnILVuC7HVin5rFAswA==" . . .