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Table 3 RMSE scores (best scoring in bold) for the Graph Neural Network and Benchmark baseline on forecasting strain sensor readings in the correlation & DTW graph

From: A computational framework for modeling complex sensor network data using graph signal processing and graph neural networks in structural health monitoring

Algorithm

Sensor type

Non-filtered

Filtered

X-strain

Y-strain

Combined

X-strain

Y-strain

Combined

Correlation

Benchmark

0.49

0.79

0.58

0.36

0.59

0.45

T-GCN

0.38

0.61

0.44

0.29

0.46

0.36

DTW

Benchmark

0.49

0.79

0.58

0.34

0.49

0.37

T-GCN

0.38

0.61

0.44

0.28

0.39

0.31