TempGNN aims to automatically learn and capture the relationships between sensors from a graph structure data perspective. First, to eliminate the effects of time-varying operation conditions on ...

The model’s applicability is confirmed across ten different temperature datasets. Consequently, the proposed GlobalTempNet, coupled with the EGNT process, emerges as a robust, reliable, and ...