link-prediction
GNN-based prediction of connections in a spatial configuration (floor plan).
Science Score: 52.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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✓Institutional organization owner
Organization metis-caad has institutional domain (www.ar.tum.de) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.6%) to scientific vocabulary
Repository
GNN-based prediction of connections in a spatial configuration (floor plan).
Basic Info
Statistics
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 6
Metadata Files
README.md
link-prediction
AI-based autocompletion of graph-based architectural spatial configurations using link prediction with graph neural networks (GNN).
The main goal of the approach is to estimate the probability of relations between the rooms of the spatial configuration graph using the relevant semantic information.
The approach is published in the context of the paper "Autocompletion of Design Data in Semantic Building Models using Link Prediction and Graph Neural Networks" submitted and presented @ eCAADe 2022.
Requirements
Following packages are required to run link prediction:
python3 & python3-pip
django & djangorestframework
Deep Graph Library (DGL) (Non-CUDA version should suffice)
Run evaluation
Run ./train.sh in console.
You should get results similar to the evaluation in the paper (see linked paper).
The evaluation was tested on Ubuntu 22.04 LTS with Python 3.10 and CUDA 11.6.
Run API (lpapi)
Run ./lpapi.sh in console.
Owner
- Name: metis
- Login: metis-caad
- Kind: organization
- Website: https://www.ar.tum.de/en/ai/research/ksd-research-group/funded-projects/
- Repositories: 1
- Profile: https://github.com/metis-caad
CAAD+AI research project
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: Eisenstadt
given-names: Viktor
orcid: https://orcid.org/0000-0001-6567-0943
- family-names: Bielski
given-names: Jessica
orcid: https://orcid.org/0000-0003-4936-1993
- family-names: Langenhan
given-names: Christoph
orcid: https://orcid.org/0000-0002-6922-2707
- family-names: Karaali
given-names: Ozan
orcid:
- family-names: Althoff
given-names: Klaus-Dieter
orcid: https://orcid.org/0000-0002-7330-6540
- family-names: Dengel
given-names: Andreas
orcid: https://orcid.org/0000-0002-6100-8255
title: "link-prediction"
version: 1.0.2
doi: 10.5281/zenodo.8139947
URL: https://github.com/metis-caad/link-prediction
date-released: 2023-07-12