We present a comprehensive benchmark dataset for Knowledge Graph Questio...
Researchers across nearly every discipline seek to leverage ontologies f...
The majority of knowledge graph embedding techniques treat entities and
...
Measuring the distance between ontological elements is a fundamental
com...
Metal-Organic Frameworks (MOFs) are a class of modular, porous crystalli...
Sentence embedding methods offer a powerful approach for working with sh...
Neural embedding approaches have become a staple in the fields of comput...
Sentence embeddings encode natural language sentences as low-dimensional...