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Quantifying the reproducibility of graph neural networks using multigraph data representation

Research article (Neural Networks, 2022) · cited 11× · AI/ML
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Quantifying the reproducibility of graph neural networks using multigraph data representation

Summary

Quantifying the reproducibility of graph neural networks using multigraph data representation is a scholarly article[1].

Key Facts

  • Quantifying the reproducibility of graph neural networks using multigraph data representation's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Quantifying the reproducibility of graph neural networks using multigraph data representation. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantifying-the-reproducibility-of-graph-neural-networks-using-multigraph-data-representation
MLA “Quantifying the reproducibility of graph neural networks using multigraph data representation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quantifying-the-reproducibility-of-graph-neural-networks-using-multigraph-data-representation.
BibTeX @misc{4ortxyz_quantifying-the-reproducibility-of-graph-neural-networks-using-multigraph-data-representation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantifying the reproducibility of graph neural networks using multigraph data representation}}, year = {2026}, url = {https://4ort.xyz/entity/quantifying-the-reproducibility-of-graph-neural-networks-using-multigraph-data-representation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Quantifying the reproducibility of graph neural networks using multigraph data representation — https://4ort.xyz/entity/quantifying-the-reproducibility-of-graph-neural-networks-using-multigraph-data-representation (retrieved 2026-05-24)

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