Message Passing Neural Network

A general GNN framework that updates information over graphs through message exchange among nodes.

Message Passing Neural Networks are one of the key abstractions that unify many graph neural architectures under a common framework. Each node aggregates messages from its neighbors and updates its representation accordingly. As this process repeats, broader graph context becomes learnable. It is a highly effective paradigm in molecular modeling, link prediction, and structured data learning.