33 datasets found

The EnhancedKGP dataset is an enhanced version of the BaseKGP dataset, which is a knowledge graph dataset used for multi-hop path reasoning tasks. The dataset is used to...

Knowledge-based visual question answering (KVQA) has been extensively studied to answer visual questions with external knowledge, e.g., knowledge graphs (KGs).

Knowledge graphs store semantic information in the form of entities and relationships that is easily machine-processable — a property that is considered as an important...

Knowledge graphs store semantic information in the form of entities and relationships that is easily machine-processable — a property that is considered as an important...

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

A benchmark for complex temporal question answering on knowledge graphs.

A benchmark for temporal question answering with knowledge graph.

The dataset used in the paper is a knowledge graph dataset, specifically the Freebase dataset, which is a large-scale knowledge graph. The dataset is used for multi-hop path...

The OK-VQA dataset is a visual question answering benchmark requiring external knowledge.

A dataset for interactive recommender systems, used to evaluate the proposed Tree-structured Policy Gradient Recommendation (TPGR) framework.

FVQA is a fact-based visual question answering dataset, containing 2190 images and 5826 (question, answer) pairs, with supporting facts selected from knowledge bases.

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 for training and testing the Neural Variational Set Expansion (NVSE) model.

NELL is a large-scale, open knowledge graph that contains a vast amount of structured data.

The DBP15KZH-EN, DBP15KJA-EN, and DBP15KFR-EN datasets are used for cross-lingual entity alignment. The datasets contain entities, relations, and attributes, and are used to...

The FB15K-DB15K and FB15K-YAGO15K datasets are used for multi-modal entity alignment. The datasets contain entities, relations, triples, and images, and are used to evaluate the...

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.