st-rap
ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal
Lee, Hojoon, Jeong, Hawon, Lee, Byungkun, Lee, Kyungyup, Choo, Jaegul
Recent studies have attempted to address this limitation by adopting graph neural networks to model spatial relationships between In this paper, we introduce ST-RAP, a novel Spatio-Temporal framework properties [4, 14, 35]. These models represent spatial relationships for Real estate APpraisal. ST-RAP employs a hierarchical as a graph, with each node denoting a property. For example, in architecture with a heterogeneous graph neural network to encapsulate MugRep [35], nodes are connected based on geographical proximity, temporal dynamics and spatial relationships simultaneously.
2308.10609
Country:
- Europe > United Kingdom > England > West Midlands > Birmingham (0.05)
- Asia > Taiwan (0.04)
Technology: