Explainable Unsupervised Change-point Detection via Graph Neural Networks

Zhang Ruohong
Zhang Ruohong
Hao Yu
Hao Yu
Yu Donghan
Yu Donghan
Chang Wei-Cheng
Chang Wei-Cheng
Cited by: 0|Bibtex|Views51|Links

Abstract:

Change-point detection (CPD) aims at detecting the abrupt property changes lying behind time series data. The property changes in a multivariate time series often result from highly entangled reasons, ranging from independent changes of variables to correlation changes between variables. Learning to uncover the reasons behind the change...More

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