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[PRE REVIEW]: HeXtractor: Extracting Heterogeneous Graphs from Structured and Textual Data for Graph Neural Networks #7966

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editorialbot opened this issue Mar 31, 2025 · 28 comments
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[PRE REVIEW]: HeXtractor: Extracting Heterogeneous Graphs from Structured and Textual Data for Graph Neural Networks #7966

editorialbot opened this issue Mar 31, 2025 · 28 comments
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@jboynyc @Nikoleta-v3 @cjbarrie
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pre-review Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning

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editorialbot commented Mar 31, 2025 •
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Submitting author: @maddataanalyst (Filip Wójcik)
Repository: https://github.com/maddataanalyst/hextractor
Branch with paper.md (empty if default branch): paper
Version: v1.0.1
Editor: @Nikoleta-v3
Reviewers: @jboynyc, @cjbarrie
Managing EiC: Chris Vernon

Status

status

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HTML: <a href="https://joss.theoj.org/papers/2e206399373011922a60b595de64df77"><img src="https://joss.theoj.org/papers/2e206399373011922a60b595de64df77/status.svg"></a>
Markdown: [![status](https://joss.theoj.org/papers/2e206399373011922a60b595de64df77/status.svg)](https://joss.theoj.org/papers/2e206399373011922a60b595de64df77)

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Thanks for submitting your paper to JOSS @maddataanalyst. Currently, there isn't a JOSS editor assigned to your paper.

@maddataanalyst if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). You can search the list of people that have already agreed to review and may be suitable for this submission.

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@editorialbot editorialbot added pre-review Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning labels Mar 31, 2025
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Hello human, I'm @editorialbot, a robot that can help you with some common editorial tasks.

For a list of things I can do to help you, just type:

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For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:

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Software report:

github.com/AlDanial/cloc v 1.98  T=0.04 s (1060.1 files/s, 188778.3 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                          15            453            730           1816
HTML                             3            228              6            933
Markdown                        10            142              0            362
Jupyter Notebook                 3              0           1505            343
TeX                              1              2              0            221
YAML                             6             13             12            123
TOML                             1              9              0             47
-------------------------------------------------------------------------------
SUM:                            39            847           2253           3845
-------------------------------------------------------------------------------

Commit count by author:

    16	Filip Wójcik
     6	Filip
     6	maddataanalyst
     5	Filip Wójcik, PhD
     2	Marcin Malczewski
     1	Filip W.

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Paper file info:

📄 Wordcount for paper.md is 1030

✅ The paper includes a Statement of need section

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License info:

✅ License found: BSD 3-Clause "New" or "Revised" License (Valid open source OSI approved license)

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Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.1007/978-981-16-6054-2_16 is OK
- 10.1109/TKDE.2020.3045924 is OK
- 10.1145/3308558.3313562 is OK
- 10.1145/3447548.3467350 is OK
- 10.1109/TBDATA.2022.3177455 is OK
- 10.5281/zenodo.3828935 is OK
- 10.1145/3620665.3640366 is OK
- 10.1109/ACCESS.2022.3174197 is OK
- 10.1145/3535101 is OK
- 10.1038/s41586-021-03819-2 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: Heterogeneous graph transformer
- No DOI given, and none found for title: Knowledge Graphs
- No DOI given, and none found for title: Heterogeneous graph neural networks
- No DOI given, and none found for title: Knowledge graphs: Fundamentals, techniques, and ap...
- No DOI given, and none found for title: Fast Graph Representation Learning with PyTorch Ge...
- No DOI given, and none found for title: Neural message passing for quantum chemistry
- No DOI given, and none found for title: Deep Graph Library: A Graph-Centric, Highly-Perfor...
- No DOI given, and none found for title: Industry-scale Knowledge Graphs: Lessons and Chall...
- No DOI given, and none found for title: How LinkedIn economic graph bonds information and ...
- No DOI given, and none found for title: Finding Money Launderers Using Heterogeneous Graph...

❌ MISSING DOIs

- 10.25080/tcwv9851 may be a valid DOI for title: Exploring Network Structure, Dynamics, and Functio...
- 10.15611/eada.2024.2.03 may be a valid DOI for title: An Analysis of Novel Money Laundering Data Using H...
- 10.1080/00207543.2023.2257807 may be a valid DOI for title: Knowledge graph driven credit risk assessment for ...
- 10.1080/17460441.2021.1910673 may be a valid DOI for title: Knowledge graphs and their applications in drug di...

❌ INVALID DOIs

- None

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👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

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⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

@Nikoleta-v3
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👋🏻 @crvernon I’d be happy to take on this submission!

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@editorialbot assign @Nikoleta-v3 as editor

Thanks @Nikoleta-v3!

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Assigned! @Nikoleta-v3 is now the editor

@Nikoleta-v3
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Hey @maddataanalyst 👋🏻 Thank you very much for the submission to JOSS! As you can see here:
#7966 (comment), several of the references are missing DOIs.

Could you please go over the ones without a DOI and check whether they actually have one? Once you've updated the .bib file and pushed the changes, you can comment on the issue with:

@editorialbot check references

Thank you!

@Nikoleta-v3
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Hey @jboynyc and @cjbarrie! 👋 Would you be willing to review this submission for JOSS?

As you already know we conduct our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html 😄

The submission I'd like you to review is titled: "HeXtractor: Extracting Heterogeneous Graphs from Structured and Textual Data for Graph Neural Networks". You can find more details at the top of this GitHub issue 🆙

Please let me know if you're available 😄 Since the Easter break is coming up in some countries, we can delay the review deadline. Thank you!

@maddataanalyst
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Hey @maddataanalyst 👋🏻 Thank you very much for the submission to JOSS! As you can see here: #7966 (comment), several of the references are missing DOIs.

Could you please go over the ones without a DOI and check whether they actually have one? Once you've updated the .bib file and pushed the changes, you can comment on the issue with:

@editorialbot check references

Thank you!

Sure, not a problem at all. I will look for the missing DOIs and let you know. Best regards and thank you for starting the review.

@jboynyc
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jboynyc commented Apr 14, 2025

I'd be happy to. I may indeed need a delayed timeline given the upcoming holidays.

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maddataanalyst commented Apr 14, 2025 •
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Citations updated. Let's see what the Editorial Bot has to say.

@maddataanalyst
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@editorialbot check references

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Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.1007/978-981-16-6054-2_16 is OK
- 10.1145/3366423.3380027 is OK
- 10.1109/TKDE.2020.3045924 is OK
- 10.1145/3308558.3313562 is OK
- 10.1145/3447548.3467350 is OK
- 10.1109/TBDATA.2022.3177455 is OK
- 10.1145/3447772 is OK
- 10.1007/978-981-16-6054-2_16 is OK
- 10.25080/TCWV9851 is OK
- 10.5281/zenodo.3828935 is OK
- 10.15611/eada.2024.2.03 is OK
- 10.1145/3620665.3640366 is OK
- 10.48550/arXiv.1903.02428 is OK
- 10.48550/arXiv.1704.01212 is OK
- 10.48550/arXiv.1909.01315 is OK
- 10.1145/3329781.3332266 is OK
- 10.1145/3219819.3219921 is OK
- 10.1080/00207543.2023.2257807 is OK
- 10.1109/ACCESS.2022.3174197 is OK
- 10.1145/3535101 is OK
- 10.1038/s41586-021-03819-2 is OK
- 10.1080/17460441.2021.1910673 is OK
- 10.48550/arXiv.2307.13499 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: Knowledge graphs: Fundamentals, techniques, and ap...

❌ MISSING DOIs

- None

❌ INVALID DOIs

- None

@maddataanalyst
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Looks good now. For this the book by Mayank Kejriwal, Craig A. Knoblock, Pedro Szekely, "Knowledge Graphs: Fundamentals, Techniques, and Applications" MIT Press, 2021 - I cannot find the DOI anywhere, probably it was not assigned.

@Nikoleta-v3
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Amazing, thank you so much for taking care of the DOIs @maddataanalyst! 🙏🏻

@Nikoleta-v3
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@jboynyc Thank you so much for agreeing to review! 😄

I may indeed need a delayed timeline given the upcoming holidays.

Of course, not an issue at all! 🐇

@Nikoleta-v3
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@editorialbot add @jboynyc as reviewer

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@jboynyc added to the reviewers list!

@cjbarrie
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If I am still needed, I can take a look!

@Nikoleta-v3
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Amazing! Thank you 😄 🙏🏻

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@editorialbot add @cjbarrie as reviewer

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@cjbarrie added to the reviewers list!

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@editorialbot start review

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OK, I've started the review over in #8057.

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