DyMRL: Dynamic Multispace Representation Learning for Multimodal Event Forecasting in Knowledge Graph

1. 1Learn time-sensitive information of different modalities
2. 2Fusion of multimodal knowledge using dynamic structural modality
3. 3Apply DyMRL to knowledge graphs for event forecasting

AI engineers and researchers working on multimodal event forecasting can benefit from DyMRL, as it enables the dynamic acquisition and fusion of multimodal knowledge

💡 DyMRL enables accurate representation of multimodal knowledge for event forecasting in dynamic settings

🚀 DyMRL: Dynamic Multispace Representation Learning for Multimodal Event Forecasting