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Fusing logic rule-based hybrid variable graph neural network approaches to fault diagnosis of industrial processes

Research article (Expert Systems with Applications, 2023) · cited 35× · AI/ML
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Fusing logic rule-based hybrid variable graph neural network approaches to fault diagnosis of industrial processes

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Fusing logic rule-based hybrid variable graph neural network approaches to fault diagnosis of industrial processes is a scholarly article[1].

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  • Fusing logic rule-based hybrid variable graph neural network approaches to fault diagnosis of industrial processes's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Fusing logic rule-based hybrid variable graph neural network approaches to fault diagnosis of industrial processes. Retrieved May 24, 2026, from https://4ort.xyz/entity/fusing-logic-rule-based-hybrid-variable-graph-neural-network-approaches-to-fault-diagnosis-of-industrial-processes
MLA “Fusing logic rule-based hybrid variable graph neural network approaches to fault diagnosis of industrial processes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fusing-logic-rule-based-hybrid-variable-graph-neural-network-approaches-to-fault-diagnosis-of-industrial-processes.
BibTeX @misc{4ortxyz_fusing-logic-rule-based-hybrid-variable-graph-neural-network-approaches-to-fault-diagnosis-of-industrial-processes_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fusing logic rule-based hybrid variable graph neural network approaches to fault diagnosis of industrial processes}}, year = {2026}, url = {https://4ort.xyz/entity/fusing-logic-rule-based-hybrid-variable-graph-neural-network-approaches-to-fault-diagnosis-of-industrial-processes}, note = {Accessed: 2026-05-24}}
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