HeXtractor: Extracting Heterogeneous Graphs from Structured and Textual Data for Graph Neural Networks

Python Jupyter Notebook Submitted 26 March 2025Published 23 June 2025
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Editor: @Nikoleta-v3 (all papers)
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Authors

Filip Wójcik (0000-0001-5938-7260), Marcin Malczewski

Citation

Wójcik et al., (2025). HeXtractor: Extracting Heterogeneous Graphs from Structured and Textual Data for Graph Neural Networks. Journal of Open Source Software, 10(110), 8057, https://doi.org/10.21105/joss.08057

@article{Wójcik2025, doi = {10.21105/joss.08057}, url = {https://doi.org/10.21105/joss.08057}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {110}, pages = {8057}, author = {Filip Wójcik and Marcin Malczewski}, title = {HeXtractor: Extracting Heterogeneous Graphs from Structured and Textual Data for Graph Neural Networks}, journal = {Journal of Open Source Software} }
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graph neural networks heterogeneous graphs tabular data knowledge graphs data extraction PyTorch Geometric

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ISSN 2475-9066