snap-research / graphless-neural-networks

[ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)

Date Created 2021-10-27 (2 years ago)

Commits 24 (last one about a year ago)

Stargazers 84 (0 this week)

Watchers 8 (0 this week)

Forks 20

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RepositoryStats indexes 565,279 repositories, of these snap-research/graphless-neural-networks is ranked #318,587 (44th percentile) for total stargazers, and #241,498 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #58,889/111,292.

snap-research/graphless-neural-networks is also tagged with popular topics, for these it's ranked: deep-learning (#5,356/8171), pytorch (#3,782/5822), graph-neural-networks (#295/559)

Other Information

snap-research/graphless-neural-networks has 1 open pull request on Github, 3 pull requests have been merged over the lifetime of the repository.

All Topics

gnn pytorch scalability distillation deep-learning graph-algorithm efficient-inference graph-neural-networks knowledge-distillation

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updated: 2024-09-03 @ 02:03pm, id: 422002464 / R_kgDOGSc_IA