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Manufacturing Service Capability Prediction with Graph Neural Networks
March 27, 2024, 4:41 a.m. | Yunqing Li, Xiaorui Liu, Binil Starly
cs.LG updates on arXiv.org arxiv.org
Abstract: In the current landscape, the predominant methods for identifying manufacturing capabilities from manufacturers rely heavily on keyword matching and semantic matching. However, these methods often fall short by either overlooking valuable hidden information or misinterpreting critical data. Consequently, such approaches result in an incomplete identification of manufacturers' capabilities. This underscores the pressing need for data-driven solutions to enhance the accuracy and completeness of manufacturing capability identification. To address the need, this study proposes a Graph …
abstract arxiv capabilities capability cs.lg cs.si current data graph graph neural networks hidden however identification information landscape manufacturing networks neural networks prediction semantic service type
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