TABLE 2.

The usage details of data sets during network training and testing.

Network	Data set	Input	Output	Number of models	Number of points (variables) in a model
Training	Training set	Model point cloud (x, y, z coordinates) + query point cloud (x, y, z coordinates and hemodynamic values calculated by CFD)	Deep learning hemodynamic prediction values corresponding to input query point cloud	450	About 0.1 (Type 1 model) –0.3 (Type 2 model) million
Testing	Test set	Model point cloud (x, y, z coordinates) + query point cloud (only x, y, z coordinates)	Deep learning hemodynamic prediction values corresponding to input query point cloud	50	About 0.1 (Type 1 model) –0.3 (Type 2 model) million