Many researchers believe that to achieve human-level intelligence; we will need to combine causal inference with deep learning. Here, Zečević et al. examine the relationship between graph neural networks and structural causal models with proof to demonstrate this theoretical connection. They present two new classes of GNN-based models for causal inference, which they empirically test on several benchmarks.