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When Temporal Knowledge Graph meets multi-modality: A new perspective for Temporal Knowledge Graph Forecasting
DOI:10.1016/j.ipm.2025.104463.png)
Abstract
En 中文
• We are the first to extend the scope of TKG forecasting into a multi-modal scenario. • We design a novel model to fuse entity temporal embedding with multi-modal features. • MM-TKGF shows its superiority over uni-modal TKG forecasting methods.
Journal
I
IF:
6.9
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5.2K
Citations:
1.4W
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