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Found 3 papers, 1 papers with code
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling
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.
MTHetGNN: A Heterogeneous Graph Embedding Framework for Multivariate Time Series Forecasting
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.
Multivariate Time Series Forecasting with Transfer Entropy Graph
Multivariate time series (MTS) forecasting is an essential problem in many fields.
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