10 datasets found

Synthetic Generation dataset contains synthetic graph generation tasks.

The dataset used in this paper is the Road-Minnesota dataset, which contains 2,640 graphs.

The dataset used in the paper for graph generation tasks.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors evaluate CatFlow on a graph generation task.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors evaluate CatFlow on three sets of experiments: abstract graph generation,...

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...

Diffusion-based graph generative models have recently obtained promising results for graph generation. However, existing diffusion-based graph generative models are mostly...

The dataset used in the paper is a Waxman random graph dataset, which includes graphs with features and edge features.

The dataset used in the paper is a graph generation dataset, which includes graphs with features and edge features.

The dataset used in the paper is a synthetic graph generated using the Stochastic Block Model (SBM) with 10 classes and 100 nodes per class.