Xiaofeng Cao

Revisiting spatial reasoning allows models to correct initial hypotheses with new perspectives, dramatically enhancing their accuracy in complex environments.

Force GNNs to explicitly reason about graph-level concepts and you get state-of-the-art performance in both classification and interpretability.