GraphSAGE-Sparse v.0.2.0

RESOURCE

Abstract

SAND2022-12899 O GraphSAGE-Sparse is an implementation of the GraphSAGE Graph Neural Network that adds support for sparse data structures, as well as improved functionality through the Tensorflow 2 functional API. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.
Developers:
Eydenberg, Michael [1][2][3]
  1. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
Release Date:
2022-07-18
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
Bash
Python
Version:
0.2.0
Licenses:
Other (Commercial or Open-Source): https://github.com/sandialabs/graphsage-sparse/blob/main/LICENSE
Sponsoring Org.:
Code ID:
94966
Site Accession Number:
SCR #2808.0
Research Org.:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Country of Origin:
United States
Keywords:
SciDAC

RESOURCE

Citation Formats

Eydenberg, Michael. GraphSAGE-Sparse v.0.2.0. Computer Software. https://github.com/sandialabs/graphsage-sparse. USDOE. 18 Jul. 2022. Web. doi:10.11578/dc.20221014.2.
Eydenberg, Michael. (2022, July 18). GraphSAGE-Sparse v.0.2.0. [Computer software]. https://github.com/sandialabs/graphsage-sparse. https://doi.org/10.11578/dc.20221014.2.
Eydenberg, Michael. "GraphSAGE-Sparse v.0.2.0." Computer software. July 18, 2022. https://github.com/sandialabs/graphsage-sparse. https://doi.org/10.11578/dc.20221014.2.
@misc{ doecode_94966,
title = {GraphSAGE-Sparse v.0.2.0},
author = {Eydenberg, Michael},
abstractNote = {SAND2022-12899 O GraphSAGE-Sparse is an implementation of the GraphSAGE Graph Neural Network that adds support for sparse data structures, as well as improved functionality through the Tensorflow 2 functional API. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.},
doi = {10.11578/dc.20221014.2},
url = {https://doi.org/10.11578/dc.20221014.2},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20221014.2}},
year = {2022},
month = {jul}
}