We proposed a PCA method in the graph frequency domain.
We proposed a PCA method in the graph frequency domain.
We proposed proposed a cross-spectral analysis tool for bivariate graph signals.
We proposed a PCA method in the graph frequency domain.
We proposed a quantile based fitting method for analyzing graph signals.
We proposed a quantile based fitting method for analyzing graph signals.
We proposed a quantile based fitting method for analyzing graph signals.
We propose a novel method for forecasting network time series using spectral graph wavelet transform (SGWT).
We define the notions of absolute average and median treatment effects on metric spaces and propose estimators. We further prove the strong consistency of the estimators when the space is proper.
We propose a novel method for forecasting network time series using spectral graph wavelet transform (SGWT).
We propose a new PCA method for the domain of river networks.
We propose a new PCA method for the domain of river networks.
We summarize how to apply PCA on multiple group data.
We apply flow-directed PCA to Geum River from South Korea and suggest several limitations.
We apply flow-directed PCA to Geum River from South Korea.