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Article
May 2024
Evolving Super Graph Neural Networks for Large-Scale Time-Series Forecasting
Advances in Knowledge Discovery and Data MiningPages 201–212https://doi.org/10.1007/978-981-97-2266-2_16
Abstract
Graph Recurrent Neural Networks (GRNN) excel in time-series prediction by modeling complicated non-linear relationships among time-series. However, most GRNN models target small datasets that only have tens of time-series or hundreds of time-...
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