Concretely, we prove that polynomial-sized message-passing GNN's can learn the

This work focuses on protein interface prediction, which aims to determine whether a pair of residues from different proteins interact.

Designing reward functions for efficiently guiding reinforcement learning (RL) agents toward specific behaviors is a complex task.