Meta-Transfer Learning Powered Temporal Graph Networks for Cross-City Real Estate Appraisal

ArXi:2410.08947v2 Announce Type: replace-cross Real estate appraisal is important for a variety of endeavors such as real estate deals, investment analysis, and real property taxation. Recently, deep learning has shown great promise for real estate appraisal by harnessing substantial online transaction data from web platforms. Nonetheless, deep learning is data-hungry, and thus it may not be trivially applicable to enormous small cities with limited data.