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Force GNNs to explicitly reason about graph-level concepts and you get state-of-the-art performance in both classification and interpretability.
Forget static datasets: this iterative training loop uses diagnostic feedback to continuously patch the blind spots in large multimodal models, leading to consistent performance gains.