Abstract: Deep learning-based soft sensor modeling methods have been extensively studied and applied to industrial processes in the last decade. However, existing soft sensor models mainly focus on ...

Abstract: Graph Transformers, emerging as a new architecture for graph representation learning, suffer from the quadratic complexity and can only handle graphs with at most thousands of nodes. To this ...