GKNet jointly learns a diffusion-style graph state model and a graph-filtered observation model, enabling accurate graph time-series tracking from scarce and partially observed data.
Learning to reconstruct missing data from spatiotemporal graphs with sparse observations,
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GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning
GKNet jointly learns a diffusion-style graph state model and a graph-filtered observation model, enabling accurate graph time-series tracking from scarce and partially observed data.