6 datasets found

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,...

Matrix factorization (MF) and Autoencoder (AE) are among the most successful approaches of unsupervised learning.

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.