DeepMind, Mila & Google Brain Enable Generalization Capabilities for Causal Graph Structure Induction | Synced

A research team from DeepMind, Mila – University of Montreal and Google Brain proposes a neural network architecture that learns the graph structure of observational and/or interventional data via supervised training on synthetic graphs, making causal induction a black-box problem that generalizes well to new synthetic and naturalistic graphs.