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ImbalancE: Inference-Time Latent Search Against Degree Imbalance in Link Prediction
Knowledge Graph Embedding models have been extensively used to learn representations of entities and relations in Knowledge Graphs for predicting missing links. However, the quality of the learned representations varies a lot across different areas of the graph. If previous research has loosely link
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