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).
Hi! Just wondering if there is a way I could run this architecture on a custom dataset? because I can run on the datasets provided in the README file but I would like to check how this mdoel works on my own custom multi-time series set
Hi! Just wondering if there is a way I could run this architecture on a custom dataset? because I can run on the datasets provided in the README file but I would like to check how this mdoel works on my own custom multi-time series set
Thank you in advance