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Number of items: 3.

Alymani, Abdulrahman, Jabi, Wassim ORCID: https://orcid.org/0000-0002-2594-9568 and Corcoran, Padraig ORCID: https://orcid.org/0000-0001-9731-3385 2023. Modelling the relationships between ground and buildings using 3D architectural topological models utilising graph machine learning. Presented at: 6th International Symposium on Formal Methods in Architecture (6FMA), 24-28 May 2022. Published in: Mona, Plácido Lizancos, Viana, David Leite, Morais, Franklim and Vaz, Jorge Vieira eds. Formal Methods in Architecture. FMA 2022. Digital Innovations in Architecture, Engineering and Construction. Singapore: Springer, pp. 287-305. 10.1007/978-981-99-2217-8_16
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Alymani, Abdulrahman 2022. Graph machine learning approaches to classifying the building and ground relationship Architectural 3D topological model to retrieve similar architectural precendents. PhD Thesis, Cardiff University.
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Alymani, Abdulrahman, Mujica, Andrea, Jabi, Wassim ORCID: https://orcid.org/0000-0002-2594-9568 and Corcoran, Padraig ORCID: https://orcid.org/0000-0001-9731-3385 2022. Classifying building and ground relationships using unsupervised graph-level representation learning. Presented at: Design Computing and Cognition’22, Glasgow, Scotland, UK, 4-6 July 2022. Published in: Gero, John S. ed. Design Computing and Cognition’22. Springer: Springer Nature, pp. 305-320. 10.1007/978-3-031-20418-0_19
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