Urban planning increasingly seeks to account for how urban spaces are experienced and interpreted by city dwellers and visitors, yet experiential dimensions remain only weakly integrated into planning decision support. This article presents a proof‑of‑concept implementation of a platial decision support system (PDSS) t...
Nils Karges, Dominik Kremer, Peter Zeile et al.· Urban Planning· 0 citations
Relational deep learning has emerged as a powerful paradigm for learning end-to-end predictive models over relational databases by representing them as temporal heterogeneous graphs. Recent advances based on graph neural networks and Transformers have achieved strong performance across diverse domains. However, the eff...
Viet T. Nguyen, Vijay Prakash Dwivedi, Gunther Gust· 0 citations
This work presents PolyStepOR, which trains directly from realized decision costs without pre-computed optima and extends to in-constraint predictions through repair or infeasibility penalties, and replaces optimal reference decisions and derivatives with forward evaluations.
Viet T. Nguyen, Gunther Gust, A. T. Le· 0 citations
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