-
Hi. Thanks for your excellent work!
I'm wondering why only epsilon method is used in predicting anomalies at feature-level in below.
https://github.com/ML4ITS/mtad-gat-pytorch/blob/9e671ea99dedd82…
-
Dear authors,
Thank you for uploading this code. I am a beginner in multivariate time series anomaly detection and this has been very helpful in my research. I have read and understood your code, b…
-
Thank you for your excellent work!
I've both read the paper ([MTAD-GAT: Multivariate Time-series Anomaly Detection via Graph Attention Network](https://arxiv.org/pdf/2009.02040.pdf
)) and your sourc…
-
https://github.com/ML4ITS/mtad-gat-pytorch/blob/8f907ccef2695252a20db6d32536cc07f3fc53e8/mtad_gat.py#L62
self.recon_model = ReconstructionModel(window_size, gru_hid_dim, recon_hid_dim, out_dim, rec…
-
Thanks for making this repo public. I have some questions after reading your code.
https://github.com/ML4ITS/mtad-gat-pytorch/blob/8f907ccef2695252a20db6d32536cc07f3fc53e8/training.py#L123
The pap…
-
h = self.sigmoid(torch.matmul(attention, x))
I found the attention alpha are multiplicated with original x instead of W * x, which is not same to the graph convolution network. Could you show me th…
-
@mangushev Thanks for your work.Is this the official implementation of MTAD-GAT about your repository.The model of my implementation gets good performence in MSL.but the performence is very pool in S…