from torch_geometric.datasets import ShapeNet
dataset = ShapeNet(root=’/tmp/ShapeNet’, categories=[‘Airplane’])
dataset[0]



Data(pos=[2518, 3], y=[2518])



Dear all, i am handling data of point cloud,  i want to implement ConvPoint :https://github.com/aboulch/ConvPoint/blob/master/networks/network_classif.py
However, there is only benchmark pretrained model. what is the best way to modify those model and implement network on your owndataset