DBP15k contains four language-specific KGs that are respectively extracted from English (En), Chinese (Zh), French (Fr) and Japanese (Ja) DBpedia, each of which contains around 65k-106k entities. Three sets of 15k alignment labels are constructed to align entities between each of the other three languages and En.
61 PAPERS • 3 BENCHMARKS
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.
42 PAPERS • 5 BENCHMARKS
1.0 Version of OpenEA benchmark datasets. Please use the updated 2.0 version, that has been subsequently released.
6 PAPERS • 4 BENCHMARKS
We present a further analysis of visual modality incompleteness, benchmarking latest MMEA models on our proposed dataset MMEA-UMVM.
5 PAPERS • 7 BENCHMARKS