https://github.com/habedi/gnnforunresolvedquestions
The repository hosts the code, data, and other artefacts for the paper "A deep learning-based approach for identifying unresolved questions on Stack Exchange Q&A communities through graph-based communication modelling", available here: https://link.springer.com/article/10.1007/s41060-023-00454-0
https://github.com/habedi/gnnforunresolvedquestions
deep-learning fewshot-learning graph-neural-networks question-answering research-paper stack-exchange text-classification text-mining
Last synced: 4 months ago
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The repository hosts the code, data, and other artefacts for the paper "A deep learning-based approach for identifying unresolved questions on Stack Exchange Q&A communities through graph-based communication modelling", available here: https://link.springer.com/article/10.1007/s41060-023-00454-0
- Host: GitHub
- URL: https://github.com/habedi/gnnforunresolvedquestions
- Owner: habedi
- License: mit
- Created: 2023-02-07T07:53:07.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-10-27T21:23:08.000Z (8 months ago)
- Last Synced: 2025-01-09T08:13:11.228Z (5 months ago)
- Topics: deep-learning, fewshot-learning, graph-neural-networks, question-answering, research-paper, stack-exchange, text-classification, text-mining
- Language: Jupyter Notebook
- Homepage:
- Size: 16.6 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# GNNforUnresolvedQuestions
[](https://raw.githubusercontent.com/habedi/GNNforUnresolvedQuestions/master/LICENSE)
The repository contains the code, data, and other artefacts for the paper [A deep learning-based approach for identifying unresolved questions on Stack Exchange Q &A communities through graph-based communication modelling](https://link.springer.com/article/10.1007/s41060-023-00454-0).
### Downloding the data
You can download the data from Hugging Face using the following command:
```Bash
git submodule update --init --recursive
```
### Citation
If you use the material in this repository in your research, please use the information below to cite the paper:
```
@Article{AbediFirouzjaei2023,
author = {Hassan Abedi Firouzjaei},
title = {{A deep learning-based approach for identifying unresolved questions on Stack Exchange Q{\&}A communities through graph-based communication modelling}},
journal = {International Journal of Data Science and Analytics},
year = {2023},
doi = {10.1007/s41060-023-00454-0},
}
```
### License for the data
The data stored here, mainly the processed CSV files, are licensed
under [Creative Commons license](http://creativecommons.org/licenses/by/4.0/).
Please see https://stackoverflow.com/help/licensing for more information about licenses that apply to the data
originating from the Stack Exchange platform.
### License for the code
The code in this repository is available under [MIT License](LICENSE).