Adaptive Modality Routing for Temporal Knowledge Graph Forecasting with Heterogeneous Mixture-of-Experts
Temporal knowledge graph forecasting aims to predict future missing facts from continuously evolving relational data in dynamic information systems. Such forecasting tasks are increasingly important for intelligent applications involving complex interactions among entities, events, and evolving environments. Existing a...
Fei Chen, Bing Guo, Yan Shen et al.
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