You're currently viewing an old version of this dataset. To see the current version, click here.

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.

Data and Resources

Cite this as

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

DOI retrieved: December 2, 2024

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