Pore-GNN: A graph neural network-based framework for predicting flow properties of porous media from micro-CT images
Summary
Pore-GNN: A graph neural network-based framework for predicting flow properties of porous media from micro-CT images is a scholarly article[1].
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Pore-GNN: A graph neural network-based framework for predicting flow properties of porous media from micro-CT images's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Pore-GNN: A graph neural network-based framework for predicting flow properties of porous media from micro-CT images. Retrieved May 24, 2026, from https://4ort.xyz/entity/pore-gnn-a-graph-neural-network-based-framework-for-predicting-flow-properties-of-porous-media-from-micro-ct-images
MLA“Pore-GNN: A graph neural network-based framework for predicting flow properties of porous media from micro-CT images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pore-gnn-a-graph-neural-network-based-framework-for-predicting-flow-properties-of-porous-media-from-micro-ct-images.
BibTeX@misc{4ortxyz_pore-gnn-a-graph-neural-network-based-framework-for-predicting-flow-properties-of-porous-media-from-micro-ct-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Pore-GNN: A graph neural network-based framework for predicting flow properties of porous media from micro-CT images}}, year = {2026}, url = {https://4ort.xyz/entity/pore-gnn-a-graph-neural-network-based-framework-for-predicting-flow-properties-of-porous-media-from-micro-ct-images}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Pore-GNN: A graph neural network-based framework for predicting flow properties of porous media from micro-CT images — https://4ort.xyz/entity/pore-gnn-a-graph-neural-network-based-framework-for-predicting-flow-properties-of-porous-media-from-micro-ct-images (retrieved 2026-05-24)
