Papers with predicting future interactions

1 papers
Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs (2020.emnlp-main)

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Challenge: Existing methods for reasoning over temporal knowledge graphs focus on past timestamps and are not able to predict future interactions.
Approach: They propose a novel autoregressive architecture for predicting future interactions using a recurrent event encoder and a neighborhood aggregator.
Outcome: The proposed method achieves state-of-the-art on five public datasets.

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