DGAR uses diffusion-generated, model-guided historical entity distributions with adaptive replay to reduce catastrophic forgetting in temporal knowledge graph reasoning.
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A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning
DGAR uses diffusion-generated, model-guided historical entity distributions with adaptive replay to reduce catastrophic forgetting in temporal knowledge graph reasoning.