GNS

2000년 도입 · 논문 21편에서 사용

Graph Network-Based Simulators is a type of graph neural network that represents the state of a physical system with particles, expressed as nodes in a graph, and computes dynamics via learned message-passing.

출처: Learning to Simulate Complex Physics with Graph Networks

소개 논문: Learning to Simulate Complex Physics with Graph Networks