Tensor Completion for Weakly-dependent Data on Graph for Metro Passenger Flow Prediction

Understand

Low-rank tensor decomposition and completion have attracted significant interest from academia given the ubiquity of tensor data.

• However, the low-rank structure is a global property, which will not be fulfilled when the data presents complex and weak dependencies given specific graph structures.
• One particular application that motivates this study is the spatiotemporal data analysis.
• As shown in the preliminary study, weakly dependencies can worsen the low-rank tensor completion performance.