. . . . "LLM-Align: Utilizing Large Language Models for Entity Alignment in Knowledge Graphs" . . . . . . . . . . . . . . . . . . . . . . . . . . . "AliNet" . . "AttrGNN" . . "AutoAlign" . . "BERT-INT" . . "BootEA" . . "CEA" . . "ChatEA" . . "DERA" . . "DERA-R" . . "GCN-Align" . . "HMAN" . . "IP-TransE" . . "JAPE" . . . "LLM-Align is a novel three-stage framework that leverages LLMs for Entity Alignment (EA) in Knowledge Graphs. It employs heuristic methods for selecting informative attributes and relations from KGs to create prompts for LLMs, and introduces a multi-round voting mechanism to enhance the reliability of LLM-inferred alignments. This method directly addresses the KG construction task by improving entity matching across KGs." . "LLM-Align" . . . "LLMEA" . . "MTransE" . . "MuGNN" . . "MultiKE" . . "NAEA" . . "RAGAT" . . "RDGCN" . . "SDEA" . . "Simple-HHEA" . . "TEA" . . . "2026-02-26T15:18:53.260Z"^^ . . . . "LLM-KG assessment for paper 10.48550/arXiv.2412.04690" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB" . "D8SrQich2ccxsOcH0yunVOzdIM0YuvYDosu5qLLn5uQ7/33t7dP1tkk6HheDO2vZEEKi/Li/fGCRU7r9IKPSJWoEMkTX/fFZKpL+zcOY+gDkzUhzsxHQOY9LMTNJGtuSl4AFaO9pHqWEIC2/EGRUby4SW38x9xreqxd8zF8rh3TyOs0VroJ15IrTNBC/djro1R2aLVVyeONJznUiqEj58I0truO+3enz2tc8CNLxNZ5fADEmGF+tFsvGrr82O+sVM1onE3yPxPgC92Ki/Kl6EIvxIOTM3/yRVAzk+vDr1Bi7w5tN4RRdQ6fd1oEAs3vNvfFm0IwT8zF4vLxw4z9VyA==" . . .