House price valuation and forecasting are considered as critical urban problems that aid individuals and organizations to execute a variety of property-related practices such as property purchase and selling, taxation, and mortgage property. This project aims to collect appropriate features for house price modeling and to develop a combined machine learning-graph modeling approach to have […]
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