ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal
Hojoon Lee Hawon Jeong Byungkun Lee Kyungyup Lee Jaegul Choo
In this paper, we introduce ST-RAP, a novel Spatio-Temporal framework for
Real estate APpraisal. ST-RAP employs a hierarchical architecture with a
heterogeneous graph neural network to encapsulate temporal dynamics and spatial
relationships simultaneously. Through comprehensive experiments on a
large-scale real estate dataset, ST-RAP outperforms previous methods,
demonstrating the significant benefits of integrating spatial and temporal
aspects in real estate appraisal. Our code and dataset are available at
https://github.com/dojeon-ai/STRAP.