no code implementations • 12 Oct 2020 • Ziheng Duan, Haoyan Xu, Yueyang Wang, Yida Huang, Anni Ren, Zhongbin Xu, Yizhou Sun, Wei Wang
Then we combine GNNs and our proposed variational graph pooling layers for joint graph representation learning and graph coarsening, after which the graph is progressively coarsened to one node.
no code implementations • 19 Aug 2020 • Yueyang Wang, Ziheng Duan, Yida Huang, Haoyan Xu, Jie Feng, Anni Ren
To characterize complex relations among variables, a relation embedding module is designed in MTHetGNN, where each variable is regarded as a graph node, and each type of edge represents a specific static or dynamic relationship.
2 code implementations • 3 May 2020 • Ziheng Duan, Haoyan Xu, Yida Huang, Jie Feng, Yueyang Wang
Multivariate time series (MTS) forecasting is an essential problem in many fields.