32 datasets found

Formats: JSON Tags: Knowledge Graphs

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  • EnhancedKGP

    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...

  • Modality-Aware Integration with Large Language Models for Knowledge-based Vis...

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

  • FB13

    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...

  • WN11

    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

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

  • ComplexTemporalQuestions

    A benchmark for complex temporal question answering on knowledge graphs.

  • TemporalQuestions

    A benchmark for temporal question answering with knowledge graph.

  • Freebase

    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...

  • OK-VQA

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

  • Netflix

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

  • FVQA

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

  • YAGO3-10

    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...

  • TinkerBell

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

  • NELL

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

  • DBP15KZH-EN, DBP15KJA-EN, and DBP15KFR-EN datasets

    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...

  • FB15K-DB15K and FB15K-YAGO15K datasets

    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...

  • HetioNet and ogbl-wikikg2

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

  • YAGO3-10, FB15k-237, CoDEx-S, 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.

  • NELL995, WN18RR, DDB14

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

  • WN18RR, YAGO3-10, FB15k-237, CoDEx-S, HetioNet, and ogbl-wikikg2

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