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Application of Geospatial Network embedding to Bogotá housing prices

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Geo-Spatial Network Embedding(GSNE)

This is the official implementation for "Boosting House Price Predictions using Geo-Spatial Network Embedding".

Requirements

CUDA version 10.2
Python version 3.7
scikit-learn version 0.22.1
TensorFlow 1.15

Code

Source code will be uploaded in this repository

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Application of Geospatial Network embedding to Bogotá housing prices

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