GATTA: Graph Active Learning with Test-Time Augmentation

The episode discusses 'GATTA: Graph Active Learning with Test-Time Augmentation,' a method for making graph models more robust. Hosts explore how combining graph structures, active learning, and TTA improves AI's ability to analyze complex, interconnected data in fields like biology and medicine.

Open the full episode

More from AI Radio