Corpus ID: 184487996

WikiDataSets : Standardized sub-graphs from WikiData

@article{Boschin2019WikiDataSetsS,
  title={WikiDataSets : Standardized sub-graphs from WikiData},
  author={Armand Boschin},
  journal={ArXiv},
  year={2019},
  volume={abs/1906.04536}
}
Developing new ideas and algorithms in the fields of graph processing and relational learning requires public datasets. While Wikidata is the largest open source knowledge graph, involving more than fifty million entities, it is larger than needed in many cases and even too large to be processed easily. Still, it is a goldmine of relevant facts and relations. Using this knowledge graph is time consuming and prone to task specific tuning which can affect reproducibility of results. Providing a… Expand
4 Citations

References

SHOWING 1-10 OF 11 REFERENCES
PyTorch-BigGraph: A Large-scale Graph Embedding System
Link Prediction on N-ary Relational Data
Knowledge Graph Embedding via Dynamic Mapping Matrix
Translating Embeddings for Modeling Multi-relational Data
Convolutional 2D Knowledge Graph Embeddings
Complex and Holographic Embeddings of Knowledge Graphs: A Comparison
Analogical Inference for Multi-relational Embeddings
ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs
Fast unfolding of communities in large networks
Knowledge Graph Embedding by Translating on Hyperplanes
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