. . . . "LLMAtKGE: Large Language Models as Explainable Attackers against Knowledge Graph Embeddings" . . . . . . . . . . . . . . . . . . . . . . . . . . . "AnyBURL" . . "Bhardwaj et al. Influence Function Attack" . . "CRIAGE" . . "Edge et al." . . "EtD" . . "GcR" . . "GraphRAG" . . "HippoRAG" . . "Influence Functions (IF) Attack" . . "KG-LLM" . . "KICGPT" . . "K-ON" . . "Kapoor et al. Perturbation Attack" . . "https://github.com/liting1024/LLMAtKGE"^^ . . "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." . "LLMAtKGE" . . . "MKGL" . . "MPIKGC" . . "PLM-Attack" . . "Random Attack" . . "RoG" . . "Simple Direct Attack" . . "ToG" . . "ToG2" . . "Zhao et al. Rule-based Attack" . . "Zhou et al. Poisoning Attack" . . . "2026-02-26T15:35:01.826Z"^^ . . . "LLM-KG assessment for paper 10.48550/arXiv.2510.11584" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB" . "hYBjvoSghswtFDYpqiie8iOOVKdSv+Ycmwsr9/7TrjSKsL/AMgC7tnKkMRNM91PBWsQsQt7/QFhFWL2khpIuzpO4pTOEDsUtLhhD/Z4xkpWQh8gu/0TY/v3niCK3xCa+Dl3whhYtKrqorkgLiMj05dKQNE8uZjtpR9v8fBjb1PwRoijOAlqGc37wObmIYFmL6CNCIeSWqMNHbu1iTnNdVF7bHIpjZRRRMEi9xjmg8lc2kL7jUQxXKzvu7WXKKZjHc5uI245LGtw9cUZxrogfxpqINFpu4VT8STaV3PQBLYsvoVeSg9p0XGax7GuHw97dvuCSpGIv8FhW4tgCIO/4nQ==" . . .