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Real-time emotion predictions can be made more reliable by selectively invoking multimodal reasoning only when necessary, improving accuracy without sacrificing speed.
GNNs can now maintain structural robustness while effectively handling noise and heterophily, thanks to a novel two-view framework that decouples feature transformation from neighborhood aggregation.
