OS.4-2：流体データの処理と活用（可視化，プリ・ポスト処理，データ同化，機械学習（人工知能），データ分析法，設計探査，最適化など）

[3519-22-03] Learning Flow and Transport Phenomena Using Graph Neural Networks Satisfying Conservation and Symmetries

*Masanobu Horie^1,2, Naoto Mitsume³ (1. RICOS Co. Ltd., 2. JST Presto, 3. University of Tsukuba)

Keywords:Machine Learning, Deep Learning, Graph Neural Network, Conservation, Symmetry