论文提出的 MTAD-GAT 模型架构如下图所示 主要由以下模块组成: 1-D 卷积 (k=7) 获取时间序列高维特征; 两种GAT 来捕获时间序列的特征和时序关系; 2 GAT 特征 + 1-D 卷积特征输入 GRU 来捕获序列模式; 将特征输入预测模型和重构模型来获取最终结果; 以下详细介绍每个模块度中的详细处理过程。 Data Prep...
MLflow version of MTAD-GAT anomaly-detectiongraph-neural-networksmlflowstreamlitmtad-gat UpdatedMar 31, 2024 Jupyter Notebook Add a description, image, and links to themtad-gattopic page so that developers can more easily learn about it.
git clone https://github.com/ML4ITS/mtad-gat-pytorch.git&&cdmtad-gat-pytorch Get data: cddatasets&&wget https://s3-us-west-2.amazonaws.com/telemanom/data.zip&&unzip data.zip&&rm data.zip&&cddata&&wget https://raw.githubusercontent.com/khundman/telemanom/master/labeled_anomalies.csv&&rm...