no code implementations • 5 Mar 2021 • Yonghong Luo, Chao Lu, Lipeng Zhu, Jie Song
The proposed STGCN utilizes graph convolution to integrate network topology information into the learning model to exploit spatial information.
no code implementations • Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19) 2019 • Yonghong Luo, Ying Zhang, Xiangrui Cai, Xiaojie Yuan
The missing values, appear in most of multivariate time series, prevent advanced analysis of multivariate time series data.
Generative Adversarial Network Multivariate Time Series Imputation +2
no code implementations • NeurIPS 2018 • Yonghong Luo, Xiangrui Cai, Ying Zhang, Jun Xu, Yuan Xiaojie
Multivariate time series usually contain a large number of missing values, which hinders the application of advanced analysis methods on multivariate time series data.