Relation extraction for manufacturing knowledge graphs based on feature fusion of attention mechanism and graph convolution network

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Relation extraction for manufacturing knowledge graphs based on feature fusion of attention mechanism and graph convolution network

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Relation extraction for manufacturing knowledge graphs based on feature fusion of attention mechanism and graph convolution network is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Relation extraction for manufacturing knowledge graphs based on feature fusion of attention mechanism and graph convolution network. Retrieved May 24, 2026, from https://4ort.xyz/entity/relation-extraction-for-manufacturing-knowledge-graphs-based-on-feature-fusion-of-attention-mechanism-and-graph-convolut
MLA “Relation extraction for manufacturing knowledge graphs based on feature fusion of attention mechanism and graph convolution network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/relation-extraction-for-manufacturing-knowledge-graphs-based-on-feature-fusion-of-attention-mechanism-and-graph-convolut.
BibTeX @misc{4ortxyz_relation-extraction-for-manufacturing-knowledge-graphs-based-on-feature-fusion-of-attention-mechanism-and-graph-convolut_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Relation extraction for manufacturing knowledge graphs based on feature fusion of attention mechanism and graph convolution network}}, year = {2026}, url = {https://4ort.xyz/entity/relation-extraction-for-manufacturing-knowledge-graphs-based-on-feature-fusion-of-attention-mechanism-and-graph-convolut}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Relation extraction for manufacturing knowledge graphs based on feature fusion of attention mechanism and graph convolution network — https://4ort.xyz/entity/relation-extraction-for-manufacturing-knowledge-graphs-based-on-feature-fusion-of-attention-mechanism-and-graph-convolut (retrieved 2026-05-24)

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