2 papers
cs.AI2025
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma
Christoph Wehner, Chrysa Iliopoulou, Ute Schmid +1
In this paper, we introduce a post-hoc and local explainable AI method tailored for Knowledge Graph Embedding (KGE) models. These models are essential to Knowledge Graph Completion…
cs.IR2025
Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis
Lukas Bahr, Christoph Wehner, Judith Wewerka +3
Failure mode and effects analysis (FMEA) is an essential tool for mitigating potential failures, particularly during the ramp-up phases of new products. However, its effectiveness…