36 datasets found

The dataset is used for multi-relational learning tasks, such as link prediction, RDF mining, entity linking, recommender systems, and natural language processing.

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...

The dataset used in this paper is a knowledge graph of tourist attractions on Socotra Island-Yemen, containing 1500 scenic spots, 2229 tourists, and 6091 score records.

Cross-domain recommendation (CDR) can help customers find more satisfying items in different domains. Existing CDR models mainly use common users or mapping functions as bridges...

The dataset used in the paper is Wikidata, which contains a large number of entities and their corresponding semantic types.

ATOMIC is a daily event CKG. It contains 709,996 tuples as the training set, 79,600 as the dev set, and 87,481 as the test set.

DBpedia is a public knowledge graph which is derived from structured information in Wikipedia, mainly infoboxes.

The Book-Crossing dataset is a book rating dataset that contains rating records of books by users from the Book-Crossing community.

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...

ConceptNet is an open, multilingual knowledge graph that focuses on general knowledge that relates the meanings of words and phrases.

The dataset used in this paper is a reinforcement learning dataset, specifically the SimpleQuestion dataset, which contains questions answerable using Wikidata as the knowledge...

VISE represents a novel hybrid strategy that integrates symbolic learning, constraint validation, and numerical learning approaches. VISE employs KGE to capture implicit...

Data of open review, including submission, authors, their affiliations, and the rank of affiliation according to the Academic Ranking of World Universities (ARWU) 2022. The...

This dataset was harvested from DBpedia on August 17th, 2023, specifically for causal inference involving the semantics of knowledge graphs. It includes detailed information...

A unified dataset for representing data integrated in the K4COVID-19 knowledge graph.