9 datasets found

The dataset used in this paper is the Amazon instances, which are a collection of networks representing the relationships between users and items on the Amazon website.

The dataset used in this study is a symptom network constructed from a large-scale dataset of psychological screening data collected from university students.

The TUDataset is a collection of benchmark datasets for learning with graphs. It contains 14 datasets, each with a different type of graph.

The Cora citation network dataset is used to evaluate the performance of graph embedding methods on real-world data.

The Facebook Social Circles dataset contains information about the social connections between users on Facebook.

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

The dataset contains traffic and network characteristics of fake and real news sites.

The dataset contains 283 fake news sites, along with their traffic and network characteristics.

The dataset used in this paper is the CORA citation network, a directed graph with 19,793 vertices and 27,225 edges.