Neural Relational Inference with Fast Modular Meta-learning

1 code implementation • NeurIPS 2019 • Ferran Alet, Erica Weng, Tomás Lozano Pérez, Leslie Pack Kaelbling

Framing inference as the inner-loop optimization of meta-learning leads to a model-based approach that is more data-efficient and capable of estimating the state of entities that we do not observe directly, but whose existence can be inferred from their effect on observed entities.

Graph Neural Network Meta-Learning