Structural damage identification based on graph convolutional neural network under strong noise and small sample conditions
1.School of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350108, China
2.Key Laboratory for Structural Engineering and Disaster Prevention of Fujian Province (Huaqiao University), Xiamen 361021, China
3.Digital Fujian Intelligent Transportation Technology Internet of Things Laboratory, Fuzhou 350108, China
4.School of Civil Engineering, Central South University, Changsha 410075, China
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