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20 lines (20 loc) · 827 Bytes
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cff-version: 1.2.0
message: "If you use edge2torch in your research, please cite it using the metadata from this file."
title: "edge2torch: Compile named edge lists into sparse PyTorch neural networks"
type: software
authors:
- family-names: "Rauter"
given-names: "Thomas"
orcid: "https://orcid.org/0009-0004-5578-3628"
repository-code: "https://github.com/Thomas-Rauter/edge2torch"
url: "https://Thomas-Rauter.github.io/edge2torch/"
abstract: "edge2torch is a Python package for building sparse PyTorch neural networks from edge lists of named nodes, with optional feature- and node-level attribution."
keywords:
- pytorch
- sparse-neural-networks
- interpretable-machine-learning
- graph-defined-neural-networks
- knowledge-primed-neural-networks
license: "MIT"
version: "0.1.0"
date-released: 2026-MM-DD