9 datasets found

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 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.,...