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

Graph Lifelong Learning: A Survey

no code implementations • 22 Feb 2022 • Falih Gozi Febrinanto, Feng Xia, Kristen Moore, Chandra Thapa, Charu Aggarwal

Lifelong learning methods that enable continuous learning in regular domains like images and text cannot be directly applied to continuously evolving graph data, due to its irregular structure.

Graph Learning Recommendation Systems