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 309 (0 this week)

Watchers 8 (0 this week)

Forks 70

License mit

Ranking

RepositoryStats indexes 534,551 repositories, of these ML4ITS/mtad-gat-pytorch is ranked #122,843 (77th percentile) for total stargazers, and #236,072 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #20,508/103,470.

ML4ITS/mtad-gat-pytorch is also tagged with popular topics, for these it's ranked: deep-learning (#2,639/7827), pytorch (#1,798/5588), time-series (#199/598), graph-neural-networks (#91/523), anomaly-detection (#80/288)

Other Information

ML4ITS/mtad-gat-pytorch has Github issues enabled, there are 8 open issues and 26 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: 2024-06-17 @ 04:49am, id: 376860503 / R_kgDOFnZvVw