Hello sir if possible please make a video related to the practical work of this paper Paper Title: GCN-FFNN: A two-stream deep model for learning solution to partial differential equations
Thanks for your suggestion. I skimmed though the code on github. I think the main contribution is class Ensemble(), which you can find in (models.py). That class concatenates the outputs from GCN and FFNN. I’ll try to fit the paper in one of my upcoming videos.
Hello sir if possible please make a video related to the practical work of this paper
Paper Title: GCN-FFNN: A two-stream deep model for learning solution to partial differential equations
Thanks for your suggestion. I skimmed though the code on github. I think the main contribution is class Ensemble(), which you can find in (models.py). That class concatenates the outputs from GCN and FFNN.
I’ll try to fit the paper in one of my upcoming videos.