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A look inside the black box: Using graph-theoretical descriptors to interpret a Continuous-Filter Convolutional Neural Network (CF-CNN) trained on the global and local minimum energy structures of neutral water clusters

Research article (The Journal of Chemical Physics, 2020) · cited 27× · AI/ML
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A look inside the black box: Using graph-theoretical descriptors to interpret a Continuous-Filter Convolutional Neural Network (CF-CNN) trained on the global and local minimum energy structures of neutral water clusters

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A look inside the black box: Using graph-theoretical descriptors to interpret a Continuous-Filter Convolutional Neural Network (CF-CNN) trained on the global and local minimum energy structures of neutral water clusters is a scholarly article[1].

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  • A look inside the black box: Using graph-theoretical descriptors to interpret a Continuous-Filter Convolutional Neural Network (CF-CNN) trained on the global and local minimum energy structures of neutral water clusters's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A look inside the black box: Using graph-theoretical descriptors to interpret a Continuous-Filter Convolutional Neural Network (CF-CNN) trained on the global and local minimum energy structures of neutral water clusters. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-look-inside-the-black-box-using-graph-theoretical-descriptors-to-interpret-a-continuous-filter-convolutional-neural-ne
MLA “A look inside the black box: Using graph-theoretical descriptors to interpret a Continuous-Filter Convolutional Neural Network (CF-CNN) trained on the global and local minimum energy structures of neutral water clusters.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-look-inside-the-black-box-using-graph-theoretical-descriptors-to-interpret-a-continuous-filter-convolutional-neural-ne.
BibTeX @misc{4ortxyz_a-look-inside-the-black-box-using-graph-theoretical-descriptors-to-interpret-a-continuous-filter-convolutional-neural-ne_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A look inside the black box: Using graph-theoretical descriptors to interpret a Continuous-Filter Convolutional Neural Network (CF-CNN) trained on the global and local minimum energy structures of neutral water clusters}}, year = {2026}, url = {https://4ort.xyz/entity/a-look-inside-the-black-box-using-graph-theoretical-descriptors-to-interpret-a-continuous-filter-convolutional-neural-ne}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A look inside the black box: Using graph-theoretical descriptors to interpret a Continuous-Filter Convolutional Neural Network (CF-CNN) trained on the global and local minimum energy structures of neutral water clusters — https://4ort.xyz/entity/a-look-inside-the-black-box-using-graph-theoretical-descriptors-to-interpret-a-continuous-filter-convolutional-neural-ne (retrieved 2026-05-24)

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