4 citations · 9 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
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…
CoSimGNN: Towards Large-scale Graph Similarity Computation
Haoyan Xu, Runjian Chen, Yueyang Wang +2
The ability to compute similarity scores between graphs based on metrics such as Graph Edit Distance (GED) is important in many real-world applications. Computing exact GED values…