Published September 26, 2022
| Version v0.0.1
Software
Open
marius-team/marius: Initial MariusGNN EuroSys 2023 Artifact
Authors/Creators
- 1. @marius-team
- 2. Harvard Medical School
- 3. UW-Madison
Description
This release contains the initial artifact for the paper MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks to be published at EuroSys 2023. The artifact contains the necessary code to reproduce experiments reported in the paper.
Files
marius-team/marius-v0.0.1.zip
Files
(330.7 kB)
| Name | Size | Download all |
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md5:b82fb62830759674fddaf5077aef924f
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Additional details
Related works
- Is supplement to
- https://github.com/marius-team/marius/tree/v0.0.1 (URL)