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What is: Recurrent Event Network?

SourceRecurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

Recurrent Event Network (RE-NET) is an autoregressive architecture for predicting future interactions. The occurrence of a fact (event) is modeled as a probability distribution conditioned on temporal sequences of past knowledge graphs. RE-NET employs a recurrent event encoder to encode past facts and uses a neighborhood aggregator to model the connection of facts at the same timestamp. Future facts can then be inferred in a sequential manner based on the two modules.