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).
The dimension of the input data is n×k. After the convolution is completed, the dimension of the data must have changed. However, according to the content of the paper, the dimension has not changed after the convolution is completed and is still n×k. And,then send it to GATs
The dimension of the input data is n×k. After the convolution is completed, the dimension of the data must have changed. However, according to the content of the paper, the dimension has not changed after the convolution is completed and is still n×k. And,then send it to GATs