{"data":{"id":"918979a5-2712-4538-8a53-cf720f749c3a","title":"An Ensemble Link Prediction Model for Sparse Knowledge Graphs With Drifting Entity","summary":"This research addresses the problem of incomplete knowledge graphs (databases of connected facts about entities) by proposing a new model called TEDD that predicts missing relationships between entities. The model combines both structural information from the graph and text information, and uses a specialized transformer technique (BERT, a language processing model) to reduce computational costs and handle entities that change over time in dynamic knowledge graphs.","solution":"N/A -- no mitigation discussed in source.","labels":["research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11241146","publishedAt":"2025-11-11T13:16:29.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2025-11-11T13:16:29.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.75,"researchCategory":"peer_reviewed","atlasIds":null}}