Temporal-semantics: an era-aware Context-Gated framework for suicide risk detection on social media

A Context-Gated Graph Fusion framework that combines MPNet-based semantic sentence representations with era-aware graph centrality features through a learnable multiplicative gating mechanism is introduced and achieves a Suicide Sensitivity (Recall) of 77.56%, outperforming standard text–graph concatenation baselines while maintaining stable F1 score.