GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?

Large-scale graphs with node attributes are increasingly common in various real-world applications. Creating synthetic, attribute-rich graphs that mirror real-world examples is crucial, especially for sharing graph data for analysis and developing learning models when original data is restricted to be shared.

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Mufei Li, Eleonora Kreaˇci´c, Vamsi K. Potluru, Pan Li (2024). Dataset: GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?. https://doi.org/10.57702/cvkmg02d

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2310.13833
Author Mufei Li
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Eleonora Kreaˇci´c
Vamsi K. Potluru
Pan Li
Homepage https://github.com/Graph-COM/GraphMaker