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Found 4 papers, 2 papers with code
Large Language Models and Knowledge Graphs: Opportunities and Challenges
Large Language Models (LLMs) have taken Knowledge Representation -- and the world -- by storm.
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
The Query Translation Landscape: a Survey
In particular, we study which query language is a most suitable candidate for that 'universal' query language.
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs
We propose the Multiple Distance Embedding model (MDE) that addresses these limitations and a framework to collaboratively combine variant latent distance-based terms.
Ranked #7 on
Link Prediction
on FB15k
