PKU-DAIR / SGL

A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)

Date Created 2022-02-24 (2 years ago)

Commits 351 (last one 9 months ago)

Stargazers 144 (1 this week)

Watchers 4 (0 this week)

Forks 21

License mit

Ranking

RepositoryStats indexes 584,353 repositories, of these PKU-DAIR/SGL is ranked #225,817 (61st percentile) for total stargazers, and #373,290 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #40,882/116,326.

PKU-DAIR/SGL is also tagged with popular topics, for these it's ranked: deep-learning (#4,206/8389), pytorch (#2,930/5948), graph-neural-networks (#217/581)

Other Information

PKU-DAIR/SGL has 2 open pull requests on Github, 6 pull requests have been merged over the lifetime of the repository.

There have been 3 releases, the latest one was published on 2022-05-31 (2 years ago) with the name 0.1.5.

Homepage URL: https://sgl-doc.readthedocs.io/en/latest

All Topics

pytorch deep-learning network-embedding graph-neural-networks geometric-deep-learning scalable-graph-learning neural-architecture-search

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351 commits on the default branch (main) since jan '22

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The primary language is Python but there's also others...

updated: 2024-11-17 @ 04:44am, id: 463041810 / R_kgDOG5l1Eg