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This page shows the Star History and the facts of 2 to 5 repositories in the Repository Index, side by side. You choose the repositories. The page does not rank them.

Stars gained: From May 18, 2026 to Nov 13, 2026, each from zeroStars gainedFrom May 18, 2026 to Nov 13, 2026, each from zero02040May 18Nov 13, 2026ChandlerBang/awesome-self-supervised-gnnKevinMusgrave/pytorch-metric-learning
Stars: The star count at the end of each dayStarsThe star count at the end of each day2K4K6KMay 8Nov 13, 2026ChandlerBang/awesome-self-supervised-gnnKevinMusgrave/pytorch-metric-learning

Facts

Fact ChandlerBang/awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

KevinMusgrave/pytorch-metric-learning

Train and evaluate embeddings for similarity search with PyTorch. Includes contrastive losses, hard example mining, samplers, and retrieval metrics.

Stars 1,7276,343
Net stars, last 30 days +2+8
Largest star day +2 on May 19, 2026+2 on May 13, 2026
Milestone reached in the record NoneNone
Forks 167663
Language PythonPython
License No licenseMIT
Created May 27, 2020Oct 23, 2019
Last push Feb 2, 2024Nov 13, 2026
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)2 of 4 checks (2 without data)
Health facts: Releases 0 of 3 checks (2 without data)2 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 0 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 12, 2026Nov 10, 2026

Topics that all of them have on the Repository Host: self-supervised-learning, deep-learning, machine-learning. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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