VITA uses a (conjunction, start, end) time triplet and an encoder-decoder Transformer to predict missing entities, relations, times, and numeric literals in temporal hyper-relational knowledge graphs, outperforming baselines on four datasets.
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VITA: Versatile Time Representation Learning for Temporal Hyper-Relational Knowledge Graphs
VITA uses a (conjunction, start, end) time triplet and an encoder-decoder Transformer to predict missing entities, relations, times, and numeric literals in temporal hyper-relational knowledge graphs, outperforming baselines on four datasets.