ML4ITS / mtad-gat-pytorch

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Date Created 2021-06-14 (3 years ago)

Commits 483 (last one about a year ago)

Stargazers 340 (1 this week)

Watchers 8 (0 this week)

Forks 80

License mit

Ranking

RepositoryStats indexes 595,856 repositories, of these ML4ITS/mtad-gat-pytorch is ranked #122,458 (79th percentile) for total stargazers, and #246,776 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #20,890/119,431.

ML4ITS/mtad-gat-pytorch is also tagged with popular topics, for these it's ranked: deep-learning (#2,637/8512), pytorch (#1,783/6025), time-series (#202/672), graph-neural-networks (#89/592), anomaly-detection (#78/336)

Other Information

ML4ITS/mtad-gat-pytorch has Github issues enabled, there are 8 open issues and 27 closed issues.

There have been 3 releases, the latest one was published on 2023-05-19 (about a year ago) with the name v1.0.2.

All Topics

gnn 2021 pytorch mtad-gat attention time-series deep-learning anomaly-detection graph-neural-networks graph-attention-networks

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

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

updated: 2024-12-21 @ 12:15pm, id: 376860503 / R_kgDOFnZvVw