8 datasets found

D&D, PROTEINS, and COLLAB datasets for graph classification tasks

The dataset used in this paper is a collection of Barabasi-Albert (BA) graphs with different preferential attachment factors (m) ranging from m = 1 (BA-1) to m = 6 (BA-6).

The dataset used in this paper is a collection of real-world graph datasets from various domains, including biological networks, social networks, and collaboration networks.

The dataset used in the paper is a link prediction benchmark dataset (Cora, PubMed, Disease, Airport) with a Gromov θ-hyperbolicity value.

The dataset used in the paper is heterogeneous graphs, including ACM citation network and IMDB movie network.

The dataset used in the paper is citation networks, including Cora, Citeseer, and Pubmed.

The dataset used in the paper is a citation network, specifically the Cora, Citeseer, and PubMed datasets.

The Cora and Citeseer datasets are used for training machine learning models to classify documents into different categories.