Papers with fixed-frequency strategy

1 papers
SiMFy: A Simple Yet Effective Approach for Temporal Knowledge Graph Reasoning (2023.findings-emnlp)

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Challenge: Existing models for temporal knowledge graph reasoning suffer from low training efficiency and insufficient generalization ability.
Approach: They propose a temporal knowledge graph reasoning approach that uses multilayer perceptron to model the structural dependencies of events and adopts a fixed-frequency strategy to incorporate historical frequency during inference.
Outcome: The proposed model achieves state-of-the-art performance with faster convergence speed and better generalization ability.

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