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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

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GNNforUnresolvedQuestions

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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.

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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. 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.

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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

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