Balanced Graph Structure Information for Brain Disease Detection

1 code implementation • 30 Dec 2023 • Falih Gozi Febrinanto, Mujie Liu, Feng Xia

In this work, we proposed Bargrain (balanced graph structure for brains), which models two graph structures: filtered correlation matrix and optimal sample graph using graph convolution networks (GCNs).

Entropy Causal Graphs for Multivariate Time Series Anomaly Detection

no code implementations • 15 Dec 2023 • Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Mujie Liu, Vidya Saikrishna, Jiangang Ma, Feng Xia

Many multivariate time series anomaly detection frameworks have been proposed and widely applied.

Anomaly Detection Time Series +1

Coupled Attention Networks for Multivariate Time Series Anomaly Detection

no code implementations • 12 Jun 2023 • Feng Xia, Xin Chen, Shuo Yu, Mingliang Hou, Mujie Liu, Linlin You

To address this issue, we propose a coupled attention-based neural network framework (CAN) for anomaly detection in multivariate time series data featuring dynamic variable relationships.

Anomaly Detection Decoder +5