2024
DOI: 10.20944/preprints202405.0037.v1
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Explainable Graph Neural Networks: An Application to Open Statistics Knowledge Graphs for Estimating House Prices

Areti Karamanou,
Petros Brimos,
Evangelos Kalampokis
et al.

Abstract: In the rapidly evolving field of real estate economics, the prediction of house prices continues to be a complex challenge, intricately tied to a multitude of socio-economic factors. However, traditional predictive models have often overlooked the spatial interdependencies that play a vital role in shaping housing prices. This study applies Graph Neural Networks (GNNs) on Open Statistics Knowledge Graphs to model spatial dependencies and predict house prices across Scotland’s 2011 data zones. To this end, inte… Show more

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