HUANG∗, Shenzhen University Bedroom Bathroom Balcony 1+ 2 1 ... ... ... (a) Input building boundary. (b) Generated floorplans. (c) After adding room counts. (d) After adding room connectivity. (e) After layout graph editing. Kitchen Kitchen Living Room Living Room Living Room Living Room Living Room Living Room Living Room Bedroom BedroomBedroom Bedroom Bedroom Bedroom Br Br Br Br Bedroom Bedroom Bathroom Bathroom Bath Bath Bath Bath Balcony Balcony Bal Bal Kit Kit Balcony Balcony Bal. Bal. Kitchen Kitchen Kitchen Bedroom Bedroom Bedroom Bathroom Balcony Balcony Fig. 1. Our deep neural network Graph2Plan is a learning framework for automated floorplan generation from layout graphs. The trained network can generate floorplans based on an input building boundary only (a-b), like in previous works. In addition, we allow users to add a variety of constraints such as room counts (c), room connectivity (d), and other layout graph edits.
| Authors | Hu, R.; Huang, Z.; Tang, Y.; Van Kaick, O.; Zhang, H.; Huang, H. |
|---|---|
| Year | 2020 |
| Venue | ACM Transactions on Graphics 39(4), Art. 118 |
| DOI | 10.1145/3386569.3392391 |
| Source Database | Backtracking |
| Bridge-to-GNN | Category A |
| GNN Architecture | Graph VAE (heuristic — verify) |
| Graph Encoding | Room Adjacency Graph (inferred from title) |
| AEC Task | Floorplan / Layout Generation (inferred from title) |
| Cohort | Early Infrastructure (2020–2021) |
| Primary Metric | Recall (heuristic — verify) |
|---|---|
| Key Finding | the input boundary and aligned graph to the user in an interactive interface, where the user can edit the retrieved graph and adapt it as needed (heuristic — verify) |
| Quality Assessment | 3/6 · rigor: Medium · Benchmark: ✓Baseline: ✓Ablation: ✓ (heuristic — verify) |
| GNN architectures detected | Graph VAE / VGAE · Knowledge Graph Embedding (TransE/RotatE/DistMult) · GCN |
|---|---|
| Benchmark datasets referenced | RPLAN |
| Reported metrics + values | IoU: 0.43 · IoU: 0.47 · IoU: 0.54 · IoU: 0.56 · IoU: 0.66 |
| Quality (heuristic, 6-flag) | 3/6 · rigor: Medium Code/Data: —Benchmark: ✓Baseline: ✓CV/Split: —Ablation: ✓Reproducible: — |
| Seed of .bib export → verified neighbours | This paper was queried as a Connected Papers seed (41 entries scanned). In-corpus neighbours verified by the bibliometric ranking: [37] 2020 · Huang · RECONCILING CITY MODELS WITH BIM IN KNOWLEDGE GRAPHS: A F… [38] 2026 · Lu · Learning multi-dimensional sensor relationships for robus… [65] 2021 · Quinn · A case study comparing the completeness and expressivenes… |
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Part of the GML/GNN in AEC Systematic Review (PRISMA 2020) — 112 papers, 2020–2026