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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).

MIT license

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Name		Name	Last commit message	Last commit date
Latest commit History 372 Commits
bash_scripts		bash_scripts
datasets/ServerMachineDataset		datasets/ServerMachineDataset
output		output
visualization		visualization
.gitattributes		.gitattributes
.gitignore		.gitignore
README.md		README.md
args.py		args.py
eval_methods.py		eval_methods.py
modules.py		modules.py
mtad_gat.py		mtad_gat.py
plotting.py		plotting.py
predict.py		predict.py
prediction.py		prediction.py
preprocess.py		preprocess.py
requirements.txt		requirements.txt
spot.py		spot.py
train.py		train.py
training.py		training.py
utils.py		utils.py

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MTAD-GAT

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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).

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