2 papers
cs.IR2026
POI Recommendation with LLM-Augmented Multi-Graph Learning and Contrastive Alignment
Burak Tamer, Wolfram Höpken, Zehui Wang
Point-of-interest (POI) recommendation models based on graph neural networks achieve strong performance by propagating collaborative signals over user-item interactions, yet they s…
cs.AI2026
Using Large Language Models and Knowledge Graphs to Improve the Interpretability of Machine Learning Models in Manufacturing
Thomas Bayer, Alexander Lohr, Sarah Weiß +2
Explaining Machine Learning (ML) results in a transparent and user-friendly manner remains a challenging task of Explainable Artificial Intelligence (XAI). In this paper, we presen…