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BridgeMem: Causal Dyadic Transition Residuals for Temporal Knowledge Graph Forecasting
Temporal knowledge graph forecasting aims to infer future relational facts from the temporal structure of observed events. Existing forecasters mainly summarize history through entity states, relation states, paths, or exact recurrence. These views often miss pair-specific transition evidence, that
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