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RAD achieves state-of-the-art anomaly detection by preserving relational context and incorporating symbolic rules, outperforming traditional methods that flatten data.
A unified layer equation for GNNs reveals how over 200 architectures can be systematically compared and optimized for performance.
Personalization in AI co-scientists could be the key to unlocking novel research insights that generic systems overlook.
