A graph neural network model with local environment pooling for predicting adsorption energies

Research article (Computational and Theoretical Chemistry, 2023) · cited 24× · AI/ML
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A graph neural network model with local environment pooling for predicting adsorption energies

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A graph neural network model with local environment pooling for predicting adsorption energies is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A graph neural network model with local environment pooling for predicting adsorption energies. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-graph-neural-network-model-with-local-environment-pooling-for-predicting-adsorption-energies
MLA “A graph neural network model with local environment pooling for predicting adsorption energies.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-graph-neural-network-model-with-local-environment-pooling-for-predicting-adsorption-energies.
BibTeX @misc{4ortxyz_a-graph-neural-network-model-with-local-environment-pooling-for-predicting-adsorption-energies_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A graph neural network model with local environment pooling for predicting adsorption energies}}, year = {2026}, url = {https://4ort.xyz/entity/a-graph-neural-network-model-with-local-environment-pooling-for-predicting-adsorption-energies}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A graph neural network model with local environment pooling for predicting adsorption energies — https://4ort.xyz/entity/a-graph-neural-network-model-with-local-environment-pooling-for-predicting-adsorption-energies (retrieved 2026-05-24)

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