. . . . "KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion" . . . . . . . . . . . . . . . . . . . . . . "ChatGPT one-shot" . . "ChatGPT zero-shot" . . "CompGCN" . . "ComplEx" . . "DistMult" . . "HAKE" . . "HittER" . . "KG-BERT" . . . "KICGPT is a framework that integrates an LLM with a triple-based KGC retriever to improve Knowledge Graph Completion performance, particularly for long-tail entities. The LLM re-ranks candidate entities provided by the retriever, leveraging its internal knowledge and external KG context to enhance the KG task." . "KICGPT" . . . . "Knowledge Prompt is a novel in-context learning strategy proposed within KICGPT that encodes KG structural knowledge into demonstrations. It guides the LLM to effectively conduct reasoning for the KGC task by providing relevant KG context, thus facilitating a synergized reasoning process." . "Knowledge Prompt" . . . "MEM-KGC" . . "Pretrain-KGE" . . "RESCAL" . . "RotatE" . . "StAR" . . "StructGPT" . . . "Text Self-Alignment is a method that uses the LLM via in-context learning to transform raw and obscure KG relation descriptions into more natural and comprehensible text. This process synergizes knowledge representation by making KG information more accessible and aligned with the LLM's understanding." . "Text Self-Alignment" . . . "TransE" . . "TuckER" . . . "2026-02-26T15:22:03.724Z"^^ . . . "LLM-KG assessment for paper 10.48550/arXiv.2402.02389" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB" . "fTfz+C0ga0jI7xqIUFGvneDGjxSM6QVXgl3rEVDN0R3K3Ly1KJ+nl2XlZp+8+sIjOdkJRZ37HLeXp+n70G4GvLM9QKcNxM8tcC2/CdWxVX2OOXTeMmcjeemctJdGUXOf9Lhs/AVQN+1YTotu3oe3CKSmA+2/YzjuOkSzCv5BtgckYryCmFeDjnKv+u9fE+22orehteWijqw05+zb9AflReywpB9HCxv5tdoN2PChpDywvoyRWRUmDOurQwQGhf+fTEaDe7Rzh+0AslZdAs3TOAGEe7WjyvOHrAbYveVH8npm9JtsY32pF7zNmff8uTB5yOXWUqoL7elxaopw4u1zmQ==" . . .