6 citations · 13 across the 5 of their papers we have counts for
5 papers
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling
Ziheng Duan, Haoyan Xu, Yueyang Wang +5
With the advancement of sensing technology, multivariate time series classification (MTSC) has recently received considerable attention. Existing deep learning-based MTSC technique…
MTHetGNN: A Heterogeneous Graph Embedding Framework for Multivariate Time Series Forecasting
Yueyang Wang, Ziheng Duan, Yida Huang +3
Multivariate time series forecasting, which analyzes historical time series to predict future trends, can effectively help decision-making. Complex relations among variables in MTS…
Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting
Yifu Zhou, Ziheng Duan, Haoyan Xu +4
Multivariate time series forecasting is widely used in various fields. Reasonable prediction results can assist people in planning and decision-making, generate benefits and avoid…
Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation
Haoyan Xu, Ziheng Duan, Jie Feng +4
Graph similarity computation aims to predict a similarity score between one pair of graphs to facilitate downstream applications, such as finding the most similar chemical compound…
Multivariate Time Series Forecasting with Transfer Entropy Graph
Ziheng Duan, Haoyan Xu, Yida Huang +2
Multivariate time series (MTS) forecasting is an essential problem in many fields. Accurate forecasting results can effectively help decision-making. To date, many MTS forecasting…