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Software . 2022
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marius-team/marius: Initial MariusGNN EuroSys 2023 Artifact

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 26 Sep 2022Publisher:Zenodo
Authors: Mohoney, Jason; Anze Xie; Basava Kolagani; Waleffe, Roger; Hoyt, Charles Tapley; Xuxiang Sun; Carlsson, Anders;
Code repository: https://github.com/marius-team/marius/tree/v0.0.1

doi: 10.5281/zenodo.7114594 , 10.5281/zenodo.7114593

marius-team/marius: Initial MariusGNN EuroSys 2023 Artifact

Abstract

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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