MeshGraphNets for Physics Simulation: A Deep Dive
Published:Jan 3, 2026 14:06
•1 min read
•Qiita ML
Analysis
This article introduces MeshGraphNets, highlighting their application in physics simulations. A deeper analysis would benefit from discussing the computational cost and scalability compared to traditional methods. Furthermore, exploring the limitations and potential biases introduced by the graph-based representation would enhance the critique.
Key Takeaways
Reference
“近年、Graph Neural Network（GNN）は推薦・化学・知識グラフなど様々な分野で使われていますが、2020年に DeepMind が提案した MeshGraphNets（MGN） は、その中でも特に”