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

Autoregressive Diffusion Model for Graph Generation

Diffusion-based graph generative models have recently obtained promising results for graph generation. However, existing diffusion-based graph generative models are mostly one-shot generative models that apply Gaussian diffusion in the de-quantized adjacency matrix space.

Data and Resources

This dataset has no data

Cite this as

Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang (2024). Dataset: Autoregressive Diffusion Model for Graph Generation. https://doi.org/10.57702/sagoagon

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2307.08849
Author	Lingkai Kong
More Authors	Jiaming Cui Haotian Sun Yuchen Zhuang B. Aditya Prakash Chao Zhang