GECo Explainer
A community-based explainer for Graph Neural Networks.
📦 PyPI Status
📥 Installation
Install GECo Explainer from PyPI:
pip install geco-explainer
🐍 Conda Status
🐍 Conda Installation
Install via conda:
conda install salvatorecalderaro::geco-explainer
🐍 Conda (via environment)
You can also set up a Conda environment and install via pip:
conda create -n geco python=3.10
conda activate geco
pip install geco-explainer
Citation
If you use GECo in your research, please cite the following paper:
@article{amato2026geco,
title={GECo: a community-based graph neural network explainer},
author={Amato, Domenico and Calderaro, Salvatore and Lo Bosco, Giosu{\`e} and Rizzo, Riccardo and Vella, Filippo},
journal={Computing},
volume={108},
number={4},
pages={55},
year={2026},
publisher={Springer}
}
Contact
For questions or collaborations, contact: salvatore.calderaro01@unipa.it
Metadata
Release files for geco-explainer 0.2.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| geco_explainer-0.2.4.tar.gz | 3.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| geco_explainer-0.2.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.0 kB
Release files / geco_explainer-0.2.4.tar.gz
| Download URL | geco_explainer-0.2.4.tar.gz |
|---|---|
| Size | 3.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
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Release files / geco_explainer-0.2.4-py3-none-any.whl
| Download URL | geco_explainer-0.2.4-py3-none-any.whl |
|---|---|
| Size | 4.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
|