Alleviating the over-smoothing of graph neural computing by a data augmentation strategy with entropy preservation

Research article (Pattern Recognition, 2022) · cited 16× · AI/ML
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Alleviating the over-smoothing of graph neural computing by a data augmentation strategy with entropy preservation

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Alleviating the over-smoothing of graph neural computing by a data augmentation strategy with entropy preservation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Alleviating the over-smoothing of graph neural computing by a data augmentation strategy with entropy preservation. Retrieved May 24, 2026, from https://4ort.xyz/entity/alleviating-the-over-smoothing-of-graph-neural-computing-by-a-data-augmentation-strategy-with-entropy-preservation
MLA “Alleviating the over-smoothing of graph neural computing by a data augmentation strategy with entropy preservation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/alleviating-the-over-smoothing-of-graph-neural-computing-by-a-data-augmentation-strategy-with-entropy-preservation.
BibTeX @misc{4ortxyz_alleviating-the-over-smoothing-of-graph-neural-computing-by-a-data-augmentation-strategy-with-entropy-preservation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Alleviating the over-smoothing of graph neural computing by a data augmentation strategy with entropy preservation}}, year = {2026}, url = {https://4ort.xyz/entity/alleviating-the-over-smoothing-of-graph-neural-computing-by-a-data-augmentation-strategy-with-entropy-preservation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Alleviating the over-smoothing of graph neural computing by a data augmentation strategy with entropy preservation — https://4ort.xyz/entity/alleviating-the-over-smoothing-of-graph-neural-computing-by-a-data-augmentation-strategy-with-entropy-preservation (retrieved 2026-05-24)

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