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A Novel Framework for temporal knowledge graph reasoning with complex causal relations
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AI
DOI：10.1016/j.eswa.2025.130089.png)
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Abstract
En 中文
• Latent history learning underpins causal capture for cold-start entities. • Temporal Causal Graph Attention Network models causal-temporal relationships. • Improving MRR by +5.46 %, +1.31 %, and +17.11 % on three benchmark datasets.
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