KG-EIGNN: a knowledge graph based graph neural network for fault detection in industrial systems
W
Wen Bo
C
Chen Ju
(Laboratory of Advanced Optoelectronic Materials, Suzhou Key Laboratory of Novel Semiconductor-optoelectronics Materials and Devices, State Key Laboratory of Bioinspired Interfacial Materials Science, College of Chemistry, Chemical Engineering and Materials Science)
J
Jingjing Hu
(Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University)
Q
Qingyuan Yu
Y
Yan Zhang
C
Changyou Zhang
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 16, Issue 1
Published
May 19, 2026
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (6)
W
Wen Bo
C
Chen Ju
Laboratory of Advanced Optoelectronic Materials, Suzhou Key Laboratory of Novel Semiconductor-optoelectronics Materials and Devices, State Key Laboratory of Bioinspired Interfacial Materials Science, College of Chemistry, Chemical Engineering and Materials Science
J
Jingjing Hu
Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University
Q
Qingyuan Yu
Y
Yan Zhang
C
Changyou Zhang
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