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Stars gained: From Apr 26, 2026 to Nov 4, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 4, 2026, each from zero020Apr 26Nov 4, 2026benedekrozemberczki/pytorch_geometric_temporalTHUMNLab/AutoGL
Stars: The star count at the end of each dayStarsThe star count at the end of each day1K2K3KApr 26Nov 4, 2026benedekrozemberczki/pytorch_geometric_temporalTHUMNLab/AutoGL

Facts

Factbenedekrozemberczki/pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

THUMNLab/AutoGL

An autoML framework & toolkit for machine learning on graphs.

Stars2,9961,144
Net stars, last 30 days+4+1
Largest star day+2 on Sep 2, 2026+2 on Jul 15, 2026
Milestone reached in the recordNoneNone
Forks403123
LanguagePythonPython
LicenseMITAPACHE-2.0
CreatedJun 27, 2020Nov 30, 2020
Last pushMay 30, 2026Nov 20, 2025
ArchivedNoNo
Health facts: Maintenance1 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases1 of 3 checks (1 without data)1 of 3 checks (1 without data)
Health facts: Security practice0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeksNo dataNo data
Weeks with commits, last 52No dataNo data
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: pytorch, graph-neural-networks, deep-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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