@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 "LLMAtKGE: Large Language Models as Explainable Attackers against Knowledge Graph Embeddings"; ; , , , , , , , , , , , , , , , , , , , , , , ; a prov:Entity . a ; rdfs:label "AnyBURL" . a ; rdfs:label "Bhardwaj et al. Influence Function Attack" . a ; rdfs:label "CRIAGE" . a ; rdfs:label "Edge et al." . a ; rdfs:label "EtD" . a ; rdfs:label "GcR" . a ; rdfs:label "GraphRAG" . a ; rdfs:label "HippoRAG" . a ; rdfs:label "Influence Functions (IF) Attack" . a ; rdfs:label "KG-LLM" . a ; rdfs:label "KICGPT" . a ; rdfs:label "K-ON" . a ; rdfs:label "Kapoor et al. Perturbation Attack" . dct:subject ; "https://github.com/liting1024/LLMAtKGE"^^xsd:anyURI; a ; rdfs:comment "LLMAtKGE is a unified framework leveraging LLMs to perform explainable adversarial attacks on KGEs. A core component, \"High-order Adjacency Tuning LLM for Filtering,\" precomputes multi-hop KG structural information and transforms it into the LLM's embedding space via a dedicated adapter. This adapter, jointly trained with the LLM using LoRA on a triple classification task, acts as a KG fusion module that effectively represents knowledge from both sources, thus fitting the SynergizedKnowledgeRepresentation category."; rdfs:label "LLMAtKGE"; . a ; rdfs:label "MKGL" . a ; rdfs:label "MPIKGC" . a ; rdfs:label "PLM-Attack" . a ; rdfs:label "Random Attack" . a ; rdfs:label "RoG" . a ; rdfs:label "Simple Direct Attack" . a ; rdfs:label "ToG" . a ; rdfs:label "ToG2" . a ; rdfs:label "Zhao et al. Rule-based Attack" . a ; rdfs:label "Zhou et al. Poisoning Attack" . } sub:provenance { sub:assertion prov:wasAttributedTo ; prov:wasDerivedFrom . } sub:pubinfo { this: dct:created "2026-02-26T15:35:01.826Z"^^xsd:dateTime; dct:creator ; npx:hasNanopubType ; rdfs:label "LLM-KG assessment for paper 10.48550/arXiv.2510.11584" . sub:sig npx:hasAlgorithm "RSA"; npx:hasPublicKey "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB"; npx:hasSignature "hYBjvoSghswtFDYpqiie8iOOVKdSv+Ycmwsr9/7TrjSKsL/AMgC7tnKkMRNM91PBWsQsQt7/QFhFWL2khpIuzpO4pTOEDsUtLhhD/Z4xkpWQh8gu/0TY/v3niCK3xCa+Dl3whhYtKrqorkgLiMj05dKQNE8uZjtpR9v8fBjb1PwRoijOAlqGc37wObmIYFmL6CNCIeSWqMNHbu1iTnNdVF7bHIpjZRRRMEi9xjmg8lc2kL7jUQxXKzvu7WXKKZjHc5uI245LGtw9cUZxrogfxpqINFpu4VT8STaV3PQBLYsvoVeSg9p0XGax7GuHw97dvuCSpGIv8FhW4tgCIO/4nQ=="; npx:hasSignatureTarget this:; npx:signedBy . }