FGATT, a fuzzy graph attention network paired with a Transformer encoder, is claimed to improve missing-data imputation on two SWaT wireless sensor datasets.
A review of recurrent neural networks: LSTM cells and network architectures
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FGATT: A Robust Framework for Wireless Data Imputation Using Fuzzy Graph Attention Networks and Transformer Encoders
FGATT, a fuzzy graph attention network paired with a Transformer encoder, is claimed to improve missing-data imputation on two SWaT wireless sensor datasets.