PRISMA 2020 · Systematic Review · 2020–2026

Graph Machine Learning in AEC
Knowledge Graph & Wiki

112 peer-reviewed papers on Graph Neural Networks and Graph Machine Learning across Architecture, Engineering & Construction — interlinked through 8 named lineages, 9 connection modes, and 1,558 typed edges (lineage / category / domain / methodology / infrastructure / temporal / NetworkX cluster / architecture / framework).

112Papers
7Categories
9Domains
8Lineages
9Connection Modes
1,558Graph Edges

What's Inside

Four ways to navigate the corpus — pick the one that fits your question.

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Interactive Knowledge Graph

D3.js force-directed graph of every paper across 9 connection modes — citation lineage, category, domain, methodology, infrastructure, temporal, NetworkX cluster, and two deep-PDF detection modes.

Open the graph →
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Per-Paper Wiki

Markdown wiki with 112 paper pages, 7 category pages, 9 domain pages, and 8 lineage families — every paper is interlinked with its bibliometric neighbours and infrastructure dependencies.

Browse the wiki →
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Named Lineages

8 hand-curated paper families (Floorplan Generation, Topologic Infrastructure, Energy Digital Twin, BIM Classification, …) cross-validated against Connected Papers .bib exports.

See lineages →
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Deep-PDF Extraction

Heuristic catalogue match across all 112 PDFs (80 pages each) detecting 23 GNN architectures, 33 frameworks, and 35 benchmarks — surfaced with a yellow "(detected from PDF)" provenance tag.

About the methods →

Graph Visualizations

Six static configurations rendered from the underlying graph data — click any image to enlarge, or open the interactive version →

Spring Spring Layout — Category View
Spring Layout — Category ViewAll 112 papers, colour by category, lineage + category edges
Hierarchical Hierarchical Layout
Hierarchical LayoutBFS layers from foundational papers through to applied AEC
Radial Radial Layout — Domain View
Radial Layout — Domain ViewPapers arranged by application domain, lineage edges only
Kamada-Kawai Kamada-Kawai — Domain Clusters
Kamada-Kawai — Domain ClustersKamada-Kawai layout, colour by application domain
Temporal Temporal Scatter
Temporal Scatterx-axis = publication year, y-axis = category layer
Lineages Named Lineages
Named Lineages8 named paper lineage families, colour by lineage

Recently Published Papers

Latest additions to the corpus. Browse all 112 →