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cs.LG2026
DyMRL: Dynamic Multispace Representation Learning for Multimodal Event Forecasting in Knowledge Graph
Feng Zhao, Kangzheng Liu, Teng Peng +2
Accurate representation of multimodal knowledge is crucial for event forecasting in real-world scenarios. However, existing studies have largely focused on static settings, overloo…
cs.LG2024
CrimeAlarm: Towards Intensive Intent Dynamics in Fine-grained Crime Prediction
Kaixi Hu, Lin Li, Qing Xie +2
Granularity and accuracy are two crucial factors for crime event prediction. Within fine-grained event classification, multiple criminal intents may alternately exhibit in precedin…