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.
64 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.
46 PAPERS • 5 BENCHMARKS
We present a further analysis of visual modality incompleteness, benchmarking latest MMEA models on our proposed dataset MMEA-UMVM.
6 PAPERS • 7 BENCHMARKS
DPB-5L is a Multilingual KG dataset containing 5 KGs in English, French, Japanese, Greek, and Spanish. The dataset is used for the Knowledge Graph Completion and Entity Alignment task. DPB-5L (Greek) is a subset of DPB-5L with Greek KG.
4 PAPERS • 1 BENCHMARK
A large-scale cross-lingual dataset for entity alignment
3 PAPERS • 1 BENCHMARK
The DBP2.0 dataset can be downloaded from the figshare repository. It has three entity alignment settings, i.e., ZH-EN, JA-EN and FR-EN. Each setting has the following files:
1 PAPER • 1 BENCHMARK
EventEA is an event-centric entity alignment dataset, harvested from EventKG, DBpedia and Wikidata.
1 PAPER • NO BENCHMARKS YET
This dataset is used for user identity linkage across two online social networks in Chinese. It contains two popular Chinese social platforms: Sina Weibo\footnote{https://weibo.com} and Douban\footnote{https://www.douban.com}.