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Found 3 papers, 1 papers with code
Subgraph2vec: A random walk-based algorithm for embedding knowledge graphs
However, most of these methods require high levels of computational time and space.
A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods
Named Entity Recognition (NER) and Relation Classification (RC) are important steps in extracting information from unstructured text and formatting it into a machine-readable format.
Multiple Relations Classification using Imbalanced Predictions Adaptation
To the best of our knowledge, this work is the first that recognizes the imbalanced predictions within the relation classification task.
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