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ML4ITS
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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).
MIT License
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Running it on custome dataset with 20 features
#44
Avv22
closed
2 months ago
0
Versions of Ptyhon and Pytorch
#43
zyz760543032
opened
4 months ago
0
Evaluation Code
#42
LameloBally
opened
5 months ago
0
The setting about feat_gat_embed_dim and time_gat_embed_dim
#41
DiYi1999
opened
7 months ago
0
about adjust_predicts() ，please！！！
#40
fffii
closed
4 months ago
2
Embedding vector dimension issue in the paper
#39
0nyoun9
opened
7 months ago
1
about the example output,please!!!
#38
goodman233
closed
7 months ago
1
Multiple inconsistent training results
#37
ZhangYN1226
opened
8 months ago
1
Vae
#36
giulionenna
closed
9 months ago
0
Pot results on the SMD dataset
#35
wangxuekui123
opened
10 months ago
0
msl and smap dataset preprocess gives error
#34
naveedAnjumMian
closed
8 months ago
2
The issue with the dataset
#33
Dudududu15
closed
8 months ago
1
Computational resource
#32
khadijakhaldi
closed
1 year ago
1
My understanding of mtad _ gat.py does not reflect the ' Multivariate Time-series ' in the title of the paper.
#31
yuanyuanyuantang
closed
11 months ago
2
about gat_layer
#30
adverbial03
opened
1 year ago
0
Update README.md
#29
axeloh
closed
1 year ago
0
Update README.md
#28
wQvaale
closed
1 year ago
0
Changed bias initialization to avoid NaN errors during training
#27
srigas
closed
1 year ago
0
The reason why use shuffle in time-series data
#26
cloudhs7
closed
1 year ago
1
Fix DataFrame Fragmentation warning & Fix wrong arguments parsing
#25
srigas
closed
1 year ago
2
Dataframe fragmentation warnings
#24
srigas
closed
1 year ago
0
Input type (torch.cuda.FloatTensor) and weight type (torch.FloatTensor) should be the same
#23
xiaokai01
closed
1 year ago
1
FileNotFoundError: [Errno 2] No such file or directory: 'datasets/ServerMachineDataset/processed\\machine-1-1_train.pkl'
#22
xiaokai01
closed
1 year ago
1
Problems encountered in calculating anomaly scores on the SMAP dataset
#21
Lszzz
opened
1 year ago
1
About data cleaning
#20
hariiiseldon
closed
1 year ago
1
Loss and some slice of the output tensors become NAN
#19
krenusz
closed
1 year ago
1
FC layer out_dim not matching RECOn layer in_dim
#18
krenusz
closed
2 years ago
2
ValueError: time data '<built-in function id>' does not match format '%d%m%Y_%H%M%S'
#17
KANGWOOLEE1234
closed
1 year ago
1
Exception: Dataset ".\DATASETS\DATA\SMAP_TRAIN_MD.CSV" not available.
#16
dheiver
closed
11 months ago
2
Running repo on custom data
#15
hiddensquid1409
closed
2 years ago
1
Reason for using `find_epsilon` in feature-level
#14
cloudhs7
closed
2 years ago
1
When computing 'e' in the FeatureAttentionLayer, the output of MTAD_GAT 'predictions', 'recons' are all nan, and training is not possible due to the presence of nan.
#13
ylic204
closed
2 years ago
2
losses are always nan
#12
m-ali-awan
closed
2 years ago
7
Some question about the param target_dims
#11
ShaoSK
closed
2 years ago
1
some question about model and the result
#10
2snoopy88
closed
3 years ago
2
Revert "Update requirements.txt"
#9
axeloh
closed
3 years ago
0
Update requirements.txt
#8
TKrom
closed
3 years ago
0
tqdm is not imported in prediction.py + request
#7
TKrom
closed
3 years ago
4
The parameter of `adjust_predicts()`
#6
vvvu
closed
3 years ago
2
attention layer
#5
wjj5881005
closed
3 years ago
1
The purpose of `adjust_anomaly_scores`
#4
severous
closed
3 years ago
1
out_dim or n_features
#3
ZhixuanLiu
closed
3 years ago
2
A Question about the implementation.
#2
Kevin-XiongC
closed
3 years ago
3
Create LICENSE
#1
axeloh
closed
3 years ago
0