The overview of the SOLACE framework. (a) The overall architecture of the model. (b) The cross-gate fusion module, which captures bidirectional conditional dependencies between flare and CME representations. (c) The AFM interaction module, which explicitly models second-order interactions among input features. (d) The supervised contrastive learning module for learning discriminative event embeddings.