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Found 4 papers, 3 papers with code
Towards Enabling FAIR Dataspaces Using Large Language Models
Dataspaces have recently gained adoption across various sectors, including traditionally less digitized domains such as culture.
Embedding Knowledge Graphs Attentive to Positional and Centrality Qualities
Capturing not only local graph structure but global features of entities are crucial for prediction tasks on Knowledge Graphs.
Ranked #2 on
Link Property Prediction
on ogbl-biokg
SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs
In recent years, the amount of data has increased exponentially, and knowledge graphs have gained attention as data structures to integrate data and knowledge harvested from myriad data sources.
Databases
Unveiling Relations in the Industry 4.0 Standards Landscape based on Knowledge Graph Embeddings
We use knowledge graph embeddings to automatically create these communities exploiting the meaning of the existing relationships.
