11 datasets found

The dataset is used to study the political biases of entities and hashtags on Twitter. It contains tweets from politicians, news outlets, and other verified Twitter accounts.

The dataset is used to study the political biases of entities and hashtags on Twitter. It contains tweets from politicians, news outlets, and other verified Twitter accounts.

The dataset is used to study political biases of entities and hashtags on Twitter. It contains tweets from politicians, news outlets, and other verified Twitter accounts.

The dataset is a collection of 17,500 papers from Semantic Scholar.

The dataset is a scientific corpus extracted from SciGraph, a knowledge graph for scientific publications.

Knowledge graphs are composed of different elements: entity nodes, relation edges, and literal nodes. Each literal node contains an entity’s attribute value (e.g. the height of...

Representing entities and relations in an embedding space is a well-studied approach for machine learning on relational data.

Representing entities and relations in an embedding space is a well-studied approach for machine learning on relational data.

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.,...

Knowledge graphs store a wealth of knowledge from the real world into structured graphs, which consist of collections of triplets, and each triplet (h, r, t) represents that...

The dataset is a 4-way array of dimensions 4000 × 90 × 90 × 3, where each pixel gives the intensity for colors red, green and blue, resulting in a multiway array of dimensions X...