Home ›
Entities
› academia
› GFNet: A pioneering approach for precisely estimating ash content in coal through the fusion of graph convolution and feedforward network
GFNet: A pioneering approach for precisely estimating ash content in coal through the fusion of graph convolution and feedforward network
Research article (Engineering Applications of Artificial Intelligence, 2023) · cited 12× · AI/ML
GFNet: A pioneering approach for precisely estimating ash content in coal through the fusion of graph convolution and feedforward network
Summary
GFNet: A pioneering approach for precisely estimating ash content in coal through the fusion of graph convolution and feedforward network is a scholarly article[1].
Key Facts
GFNet: A pioneering approach for precisely estimating ash content in coal through the fusion of graph convolution and feedforward network's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). GFNet: A pioneering approach for precisely estimating ash content in coal through the fusion of graph convolution and feedforward network. Retrieved May 24, 2026, from https://4ort.xyz/entity/gfnet-a-pioneering-approach-for-precisely-estimating-ash-content-in-coal-through-the-fusion-of-graph-convolution-and-fee
MLA“GFNet: A pioneering approach for precisely estimating ash content in coal through the fusion of graph convolution and feedforward network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gfnet-a-pioneering-approach-for-precisely-estimating-ash-content-in-coal-through-the-fusion-of-graph-convolution-and-fee.
BibTeX@misc{4ortxyz_gfnet-a-pioneering-approach-for-precisely-estimating-ash-content-in-coal-through-the-fusion-of-graph-convolution-and-fee_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GFNet: A pioneering approach for precisely estimating ash content in coal through the fusion of graph convolution and feedforward network}}, year = {2026}, url = {https://4ort.xyz/entity/gfnet-a-pioneering-approach-for-precisely-estimating-ash-content-in-coal-through-the-fusion-of-graph-convolution-and-fee}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GFNet: A pioneering approach for precisely estimating ash content in coal through the fusion of graph convolution and feedforward network — https://4ort.xyz/entity/gfnet-a-pioneering-approach-for-precisely-estimating-ash-content-in-coal-through-the-fusion-of-graph-convolution-and-fee (retrieved 2026-05-24)
