Introduced by Liu et al. in MMKG: Multi-Modal Knowledge Graphs

MMKG is a collection of three knowledge graphs for link prediction and entity matching research. Contrary to other knowledge graph datasets, these knowledge graphs contain both numerical features and images for all entities as well as entity alignments between pairs of KGs. While MMKG is intended to perform relational reasoning across different entities and images, previous resources are intended to perform visual reasoning within the same image.

The three knowledge graphs augmented with numerical features and images are called FB15k, YAGO15k, and DBPEDIA15k.


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