15 datasets found

Graph Neural Networks (GNNs) have become a popular approach for various applications, ranging from social network analysis to modeling chemical properties of molecules.

WikiKG90M is a Knowledge Graph extracted from the entire Wikidata knowledge base.

Open Graph Benchmark: Datasets for machine learning on graphs.

The dataset used in this paper is the Hearst dataset, which is a collection of text documents.

The dataset used in this paper is the MCG dataset, which is a collection of molecular graphs.

The dataset used in this paper is the WordNet Noun dataset, which is a collection of nouns with their semantic relationships.

The dataset used in this paper is the Mammal sub-graph, which is a directed acyclic graph (DAG) representing the taxonomy of mammals.

The dataset used in the paper is a knowledge graph, specifically HetioNet and ogbl-wikikg2.

The dataset used in the paper is a knowledge graph, specifically YAGO3-10, FB15k-237, CoDEx-S, HetioNet, and ogbl-wikikg2.

The dataset used in the paper is a knowledge graph, specifically NELL995, WN18RR, DDB14.

The dataset used in the paper is a knowledge graph, specifically WN18RR, YAGO3-10, FB15k-237, CoDEx-S, HetioNet, and ogbl-wikikg2.

The LINE dataset is a collection of information networks, with each node annotated with a set of labels.

The FROSTT dataset is a collection of sparse tensors, with each tensor representing a graph.

Knowledge graphs (KGs) are collections of facts. Some well-known knowledge graphs include Freebase (Bollacker et al., 2008), Word-Net (Miller, 1995), YAGO (Suchanek et al.,...

The ogbn-arxiv dataset is a citation network dataset, which is a directed graph, denoting the citation network between all Computer Science (CS) arXiv papers extracted from the...