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[109] Space Matcher An interactive toolbox for assisting in spatializing \& testing layout programmes using graph centralities

Seed Paper Structural Design & Layout Generation 2022

Paper Description extracted from PDF · intro excerpt · 150 words

& Consulting 1,2,3{ekaterina.fuchkina|martin.bielik|sven.schneider}@ uni-weimar.de 4,5{t.ossenberg-engels| a.haemmerle}@oecc.de Graph-based representations of functional requirements (adjacencies, bubble diagram) are a common and useful method that supports architects in the conceptual phase of planning. However, the task of specifying the functional requirements through an adjacency graph can be challenging due to a quadratic growth of complexity in relation to the number of spaces. In turn, this increase of complexity challenges the designer searching for solutions that fulfill these functional requirements. There are systems that aim to address the difficulties related to graph-based space allocation. They, for instance, use fuzzy logic to weight the edges of a graph (i.e., specify relations between spaces) and spring systems (Newtonian gravitation model) to visually clarify the resulting proximity of all spaces according to the rules. Nevertheless, the problem of specifying large-scale adjacencies itself is omitted due to the assumption that such matrices are correctly filled in some previous steps.

AuthorsEkaterina Fuchkina and Martin Bielik and Sven Schneider and Tobias Ossenberg-Engels and Alexander Hämmerle
Year2022
VenueProceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe
DOI10.52842/CONF.ECAADE.2022.2.039
Source DatabaseSeed (CumInCAD)
Bridge-to-GNNCategory Seed
GNN ArchitectureNot yet extracted from PDF
Graph EncodingNot yet extracted from PDF
AEC TaskNot yet extracted from PDF
CohortPeak Adoption (2022)

Extracted Methodology heuristic — verify before citing

Implementation FrameworkGrasshopper / Rhino (heuristic — verify)
Primary MetricAccuracy (heuristic — verify)
Quality Assessment1/6 · rigor: Low ·
Baseline: ✓ (heuristic — verify)

Detected Technical Stack auto-detected from PDF · regex catalogue match

Frameworks / librariesGrasshopper / Rhino
Quality (heuristic, 6-flag)0/6 · rigor: Low
Code/Data: —Benchmark: —Baseline: —CV/Split: —Ablation: —Reproducible: —

Connected Papers Verification bibliometric (data/connected_papers_matches.json)

Bibliometrically related to other seedsThis paper appeared in the Connected Papers neighbourhood of these corpus seeds:

[55] 2021 · Collins · Assessing IFC Classes with Geometric Deep Learning on Dif…

Lineage Families

floorplan-generation (auto-suggested)

Enabled By / Precursors

None tracked

Extended By

None in corpus

Infrastructure Dependencies

BIM (auto-suggested) Grasshopper / Rhino (detected from PDF)

Research Frontier Tags

graph-ml-aec

Part of the GML/GNN in AEC Systematic Review (PRISMA 2020) — 112 papers, 2020–2026