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Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes
Research article (Expert Systems with Applications, 2023) · cited 16× · AI/ML
Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes
Summary
Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes is a scholarly article[1].
Key Facts
Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes's instance of is recorded as scholarly article[2].
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes. Retrieved May 24, 2026, from https://4ort.xyz/entity/residual-aware-deep-attention-graph-convolutional-network-via-unveiling-data-latent-interactions-for-product-quality-pre
MLA“Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/residual-aware-deep-attention-graph-convolutional-network-via-unveiling-data-latent-interactions-for-product-quality-pre.
BibTeX@misc{4ortxyz_residual-aware-deep-attention-graph-convolutional-network-via-unveiling-data-latent-interactions-for-product-quality-pre_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes}}, year = {2026}, url = {https://4ort.xyz/entity/residual-aware-deep-attention-graph-convolutional-network-via-unveiling-data-latent-interactions-for-product-quality-pre}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes — https://4ort.xyz/entity/residual-aware-deep-attention-graph-convolutional-network-via-unveiling-data-latent-interactions-for-product-quality-pre (retrieved 2026-05-24)
