KANS, a graph attention network with cosine-similarity-based graph structure learning, reports better soft sensor predictions than seven baselines on the Cranfield multiphase flow dataset.
Soft-sensing model development using plsr-based dynamic extreme learning machine with an enhanced hidden layer,
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KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes
KANS, a graph attention network with cosine-similarity-based graph structure learning, reports better soft sensor predictions than seven baselines on the Cranfield multiphase flow dataset.