Explainable Graph Neural Networks on Linked Statistical Data for Predicting Scottish House Prices-Reference-Cited by-同舟云学术

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Explainable Graph Neural Networks on Linked Statistical Data for Predicting Scottish House Prices

Published:2023-11-24 Issue: Volume: Page:36-41
ISSN:
Container-title:Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatics
language:
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Author:

Brimos Petros¹^ORCID,Karamanou Areti²^ORCID,Kalampokis Evangelos²^ORCID,Mamalis Marios Evangelos¹^ORCID,Tarabanis Konstantinos²^ORCID

Affiliation:

1. Information Systems Lab, Department of Business Administration, University of Macedonia, Greece

2. Center for Research & Technology HELLAS (CERTH), Greece and Information Systems Lab, Department of Business Administration, University of Macedonia, Greece

Funder

Horizon 2020 Framework Programme award number(s)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3635059.3635065

Reference42 articles.

1. Luc Anselin and Nancy Lozano-Gracia. 2009. Spatial hedonic models. In Palgrave handbook of econometrics. Springer, 1213–1250.

2. Predicting House Prices with Spatial Dependence: A Comparison of Alternative Methods

3. Spatial Dependence, Housing Submarkets, and House Price Prediction

4. Graph Neural Networks and Open-Government Data to Forecast Traffic Flow

5. Petros Brimos Areti Karamanou Evangelos Kalampokis and Konstantinos Tarabanis. 2023. Traffic Flow Prediction with Swiss Open Data: A Deep Learning Approach. In Electronic Government Ida Lindgren Csaba Csáki Evangelos Kalampokis Marijn Janssen Gabriela Viale Pereira Shefali Virkar Efthimios Tambouris and Anneke Zuiderwijk (Eds.). Springer Nature Switzerland Cham 313–328.

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