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Learning Graphon Autoencoders for Generative Graph Modeling

Graphon is a nonparametric model that generates graphs with arbitrary sizes and can be induced from graphs easily. Based on this model, we propose a novel algorithmic framework called graphon autoencoder to build an interpretable and scalable graph generative model.

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Hongteng Xu, Peilin Zhao, Junzhou Huang, Dixin Luo (2024). Dataset: Learning Graphon Autoencoders for Generative Graph Modeling. https://doi.org/10.57702/a6j3d7xj

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2105.14244
Author	Hongteng Xu
More Authors	Peilin Zhao Junzhou Huang Dixin Luo