A global relation-similarity enhancement layer plus frequency-weighted sampling improves long-tail entity link prediction in incrementally trained temporal knowledge graphs on the ICEWS14 and ICEWS18 benchmarks.
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Towards Improving Long-Tail Entity Predictions in Temporal Knowledge Graphs through Global Similarity and Weighted Sampling
A global relation-similarity enhancement layer plus frequency-weighted sampling improves long-tail entity link prediction in incrementally trained temporal knowledge graphs on the ICEWS14 and ICEWS18 benchmarks.