182-structure-aware-visualization-retrieval
https://github.com/szu-advtech-2023/182-structure-aware-visualization-retrieval
Science Score: 23.0%
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Basic Info
- Host: GitHub
- Owner: SZU-AdvTech-2023
- Language: Python
- Default Branch: main
- Size: 176 MB
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Created over 2 years ago
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Citation
https://github.com/SZU-AdvTech-2023/182-Structure-Aware-Visualization-Retrieval/blob/main/
## Structure-aware Visualization Retrieval
Code for paper [*Structure-aware Visualization Retrieval*](https://dl.acm.org/doi/10.1145/3491102.3502048):
```
@inproceedings{li2022structure,
title={Structure-aware visualization retrieval},
author={Li, Haotian and Wang, Yong and Wu, Aoyu and Wei, Huan and Qu, Huamin},
booktitle={Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems},
pages={1--14},
year={2022}
}
```
### How to run the code
1. run `./svg_processing.sh` and `python graph_construction.py` in `svg_processing` folder
2. run `./train.sh` in `simsiam` and `infograph` folders
3. run `./embed.sh` in `simsiam` and `infograph` folders after training models
4. run `python evaluation.py` under the main directory
### Required packages
- Python: DGL 0.6.1, PyTorch 1.9.0
- JavaScript: d3-regression 1.3.9, svg-parser 2.0.4, cssjson 2.1.3, svg-path-bounds 1.0.2, svg-path-properties 1.0.11, svg-pathdata 6.0.0
### Reference
[1] SimSiam: https://github.com/facebookresearch/simsiam
[2] InfoGraph-DGL: https://github.com/dmlc/dgl/tree/master/examples/pytorch/infograph
Owner
- Name: SZU-AdvTech-2023
- Login: SZU-AdvTech-2023
- Kind: organization
- Repositories: 1
- Profile: https://github.com/SZU-AdvTech-2023