cwmeijer
commented
2 years ago - description/abstract: Using graph neural networks (GNNs) to predict the time evolution of for example liquids. Trained on data generated by a "traditional" solver, with the goal of replacing it with a GNN that is able to do the same but faster.(science focused)
- approximate duration: 34:41m (excluding questions)
- difficulty: Easy to follow, well presented
- other notes: Considering trying this on the new grain learning project https://www.youtube.com/watch?v=8v27_jzNynM (34:41m) https://sites.google.com/view/learning-to-simulate (1:21m)