Representation and assessment of spatial design using a hierarchical graph neural network: Classification of shopping center types-Reference-Cited by-同舟云学术

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Representation and assessment of spatial design using a hierarchical graph neural network: Classification of shopping center types

Published:2023-03 Issue: Volume:147 Page:104727
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Yang Lijing,Huang Weixin

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference54 articles.

1. Analytic hierarchy process (AHP) as an assessment approach for architectural design: case study of architectural design studio;Harputlugil,2018

2. The Measurement of Meaning;Osgood,1957

3. A design assessment tool for layout planning in residential care for dementia;Quirke;Archit. Sci. Rev.,2021

4. Spatial Analysis and Social Spaces: Interdisciplinary Approaches to the Interpretation of Prehistoric and Historic Built Environments;Paliou,2014

5. Generating layout designs from high-level specifications;Wang;Autom. Constr.,2020

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. From knowledge encoding to procedural generation for early-stage layout design: A case of linear shopping centres;Frontiers of Architectural Research;2024-08

2. Incorporating Context into BIM-Derived Data—Leveraging Graph Neural Networks for Building Element Classification;Buildings;2024-02-16

3. Floor plan graph learning for generative design of residential buildings: a discrete denoising diffusion model;Building Research & Information;2023-12-10

4. CB-SAGE: A novel centrality based graph neural network for floor plan classification;Engineering Applications of Artificial Intelligence;2023-11

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