@prefix this: . @prefix sub: . @prefix np: . @prefix dct: . @prefix xsd: . @prefix rdfs: . @prefix prov: . @prefix npx: . sub:Head { this: np:hasAssertion sub:assertion; np:hasProvenance sub:provenance; np:hasPublicationInfo sub:pubinfo; a np:Nanopublication . } sub:assertion { dct:title "medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRs"; ; , , , , , , , , , , , , ; a prov:Entity . a ; rdfs:label "Bidirectional Attention-enhanced Graph Neural Network" . a ; rdfs:label "Chain-of-Thought" . a ; rdfs:label "DR.KNOWS" . a ; rdfs:label "Graph Chain-of-Thought" . a ; rdfs:label "HyKGE" . a ; rdfs:label "ICP" . a ; rdfs:label "KG-rank" . dct:subject ; a ; rdfs:comment "The medIKAL framework integrates LLMs and KGs through a multi-step collaborative reasoning process. It begins by allowing LLMs to perform an initial diagnosis, whose results are then merged with KG search outcomes using a residual network-like approach. The KG further refines candidate diseases via path-based reranking, and its knowledge is specifically reconstructed into a semi-structured format. Finally, LLMs engage in collaborative reasoning with this reconstructed KG knowledge using a fill-in-the-blank prompt, thereby combining the strengths of both systems for enhanced clinical diagnosis."; rdfs:label "medIKAL"; . a ; rdfs:label "MindMap" . a ; rdfs:label "RAM-EHR" . a ; rdfs:label "REALM" . a ; rdfs:label "Self-Consistency with Chain-of-Thought" . a ; rdfs:label "ToG" . a ; rdfs:label "Tree-of-Thought" . } sub:provenance { sub:assertion prov:wasAttributedTo ; prov:wasDerivedFrom . } sub:pubinfo { this: dct:created "2026-02-26T16:01:42.825Z"^^xsd:dateTime; dct:creator ; npx:hasNanopubType ; rdfs:label "LLM-KG assessment for paper 10.48550/arXiv.2406.14326" . sub:sig npx:hasAlgorithm "RSA"; npx:hasPublicKey "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB"; npx:hasSignature "HD7EcoFvrSWldH1Mk8pPuNNW03Y68+qVxMPd4Dlq0B+PZRretBRgc2yQqLkBTup8OHm8Ml/modbSFAXKonaYM4p1RWphzsocuthdLd75MwurykebaSACQnzX+A4LxiFbmmCaB00+Uml1wt9JmhMTZWoCHub6TUBnKTo0+s/lVEemSqlTJDrMlFjeglx2VXMGxmVftAdEhTcQT8ugjm79KvoOpdcGfiJ9M1WGgB9Q704wHi9geGIMS5iVXzZL41Kr6x4YRSNUhqZw+aD0uDHCrD3xyoKlpIOoTT5cpR2eeU5reIgHC7fTjOSwoKhMg31Ujkxc2CxarM/st/HxJ+t0PQ=="; npx:hasSignatureTarget this:; npx:signedBy . }